Publications
Book Chapter
P. Mandal, et al., “Electricity Price Forecasting Using Neural Network and Similar Days,” Advances in Electric Power and Energy Systems: Load and Price Forecasting, Wiley-IEEE Press, July 2017.
*: corresponding author, underlined author: student
- O. Acosta, P. Mandal*, E. Galvan, and T. Senjyu, "Performance assessment of offshore and onshore wind energy systems to counterpoise residential HVAC loads," International Journal of Electrical Power & Energy Systems, Vol. 157, pp. 109830, 2024.
- T. Newbolt, P. Mandal*, H. Wang, and R. Zane, "Sustainability of Dynamic Wireless Power Transfer Roadway for In-motion Electric Vehicle Charging," IEEE Transactions on Transportation Electrification, 2023 (early access)
- I. Zunnurain, Y. Sang, P. Mandal, M. Velez-Reyes, and J. Espiritu, "Improving the Resilience of Large-Scale Power Systems Using Distributed Static Series Compensators," International Journal of Electrical Power & Energy Systems, Vol. 145, pp. 108702, 2023. (Elsevier, IF: 5.659)
- M. K. Kiptoo, O. B. Adewuyi, M. Furukakoi, P. Mandal, and T. Senjyu, "Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty," Energies, Vol. 16, No. 19, pp. 6838, 2023.
- Y. Huang, H. Masrur, M. H. H. Lipu, H. Howlader, M. M. Gamil, A. Nakadomari, P. Mandal, and Tomonobu Senjyu, "Multi-objective optimization of campus microgrid system considering electric vehicle charging load integrated to power grid," Sustainable Cities and Society, Vol. 98, pp. 104778, 2023 (Elsevier).
- O. M. Bakry, A. Alhabeeb, M. Ahmed, S. Alkhalaf, T. Senjyu, P. Mandal, and M. Dardeer, "Improvement of distribution networks performance using renewable energy sources based hybrid optimization techniques," Ain Shams Engineering Journal, Vol. 13, No. 6, pp. 101786, 2022. (Elsevier, IF: 4.790)
- T. S. M. Ahmadi, O. B. Adewuyi, M. S. S. Danish,P. Mandal, A. Yona, and T. Senjyu, "Optimum Coordination of Centralized and Distributed Renewable Power Generation Incorporating Battery Storage System into the Electric Distribution Network," International Journal of Electrical Power & Energy Systems, Vol. 125, pp. 106458, 2021. (Elsevier, IF: 5.2)
- M. M. Gamil, M. E. Lotfy, A. M. Hemeida, P. Mandal, H. Takahashi, and T. Senjyu, “Optimal sizing of a residential microgrid in Egypt under deterministic and stochastic conditions with PV/WG/Biomass Energy integration,” AIMS Energy, Vol. 9, No. 3, pp. 483-515, 2021.
- L. Liu, T. Kato, P. Mandal, A. Mikhaylov, A. M. Hemeida, H. Takahashi, and T. Senjyu, “Two cases studies of Model Predictive Control approach for hybrid Renewable Energy Systems,” AIMS Energy, Vol. 9, No. 6, 2021.
- H. Akter, H. O. R. Howlader, A. Y. Saber, P. Mandal, H. Takahashi, and T. Senjyu, “Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission,” Energies, Vol. 14, No. 22, pp. 7599, 2021.
- Y. Huang, A. Yona, H. Takahashi, A. M. Hemeida, P. Mandal, A. Mikhaylov, T. Senjyu and M. E. Lotfy, "Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation," Sustainability, Vol. 13, No. 11, pp. 6163, 2021 [Special Issue "Advanced Renewable Energy for Sustainability]
- E. Galvan, P. Mandal*, and Y. Sang, "Networked Microgrids With Roof-Top Solar PV and Battery Energy Storage to Improve Distribution Grids Resilience to Natural Disasters," International Journal of Electrical Power & Energy Systems, Vol.123, pp. 106239, December 2020. (Elsevier, IF: 5,2)
- L. Liu, T. Senjyu, T. Kato, A. M. Howlader, P. Mandal, and M. E. Lotfy, "Load frequency control for renewable energy sources for isolated power system by introducing large scale PV and storage battery," Energy Reports, Vol. 6, No. 9, pp. 1597-1603, 2020. (Elsevier, IF: 6.87)
- M. Sugimura, M. M. Gamil, H. Akter, N. Krishna, M. Abdel-Akher, P. Mandal, and T. Senjyu, "Optimal sizing and operation for microgrid with renewable energy considering two types demand response," Journal of Renewable and Sustainable Energy, Vol. 12, No. 6, 2020.
- R. Shigenobu, A. Nakadomari, Y-Y Hong, P. Mandal, H. Takahashi, and T. Senjyu, "Optimization of Voltage Unbalance Compensation by Smart Inverter," Energies, Vol. 13, No. 18, pp. 4623, 2020 [MDPI Special Issue on Smart Grids and Microgrids]
- S. M. S. Danish, M. Ahmadi, M. S. S. Danish, P. Mandal, A. Yona, and T. Senjyu, "A Coherent Strategy for Peak Load Shaving Using Energy Storage Systems," Journal of Energy Storage, Vol. 32, 2020 https://doi.org/10.1016/j.est.2020.101823
- Y. Wen, D. AlHakeem, P. Mandal*, S. Chakraborty, Y-K Wu, T. Senjyu, S. Paudyal, and B. Tseng, “Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty,” IEEE Transactions on Neural Networks and Learning Systems, Vol. 31, No. 4, pp. 1134-1144, 2020 (Impact factor: 10.451)
- A. Conteh, M. E. Lotfy, O. B. Adewuyi, P. Mandal, H. Takahashi, and T. Senjyu, "Demand Response Economic Assessment with the Integration of Renewable Energy for Developing Electricity Markets," Sustainability, Vol. 12, No. 7, pp. 2653, 2020.
- H. Zaheb, M. S. Danish, T. Senjyu, M. Ahmadi, A. M. Nazari, M. Wali, M. Khosravy, and P. Mandal, "A Contemporary Novel Classification of Voltage Stability Indices," Applied Sciences, Vol. 10, No. 5, pp. 1639, 2020.
- Y. Huang, R. Shigenobu, A. Yona, P. Mandal, Z. Yan, and T. Senjyu, "M-Shape PV Arrangement for Improving Solar Power Generation Efficiency," Applied Sciences, Vol. 10, No. 2, pp. 537, 2020.
- H. O. R. Howlader, O. B. Adewuyi, Y-Y Hong, P. Mandal, A. M. Hemeida, and T. Senjyu, "Energy Storage System Analysis Review for Optimal Unit Commitment," Energies, Vol. 13, No. 1, pp. 158, 2020.
- O. Adewuyi, M. Ahmadi, I. Olaniyi, T. Senjyu, T. Olowu, and P. Mandal, "Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets," Energies, Vol. 12, No. 22, pp. 4371, 2019.
- Y-K Wu, S-M Chang, and P. Mandal, “Grid-Connected Wind Power Plants: A Survey on the Integration Requirements in Modern Grid Codes,” IEEE Transactions on Industry Applications, Vol. 55, No. 6, pp. 5584-5593, 2019.
- E. Galvan, P. Mandal*, S. Chakraborty, and T. Senjyu, "Efficient Energy Management System Using A Hybrid Transactive-Model Predictive Control Mechanism for Prosumer-Centric Networked Microgrids," Sustainability, Vol. 1, No. 19, pp. 5436, 2019 [MDPI Special Issue on Sustainable Electric Power Systems Research]
- K. Kiptoo, O. B. Adewuyi, M. E. Lotfy, T. Senjyu, P. Mandal, and M. Abdel-Akher, “Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-based Microgrid Incorporating Demand-side Flexibility Management,” Applied Sciences, Vol. 9, No. 18, pp. 3855, 2019 [MDPI Special Issue on Standalone Renewable Energy Systems-Modeling and Controlling]
- S. M. S. Danish, R. Shigenobu, M. Kinjo, P. Mandal, N. Krishna, A. M. Hemeida, and Tomonobu Senjyu, “A Real Distribution Network Voltage Regulation Incorporating Auto-Tap-Changer Pole Transformer Multi-Objective Optimization,” Applied Sciences, Vol. 9, No. 14, pp. 2813, 2019.
- A. Conteh, M. Elsayed, K. M. Kipngetich, T. Senjyu, P. Mandal, and S. Chakraborty, “An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freeetown Sierra Leone,” Sustainability, Vol. 11, No. 10, 2019.
- A. Aoyagi, R. Isomura, P. Mandal, N. Krishna, T. Senjyu and H. Takahashi, “Optimum Capacity and Placement of Storage Batteries Considering Photovoltaics,” Sustainability, Vol. 11, No. 9, 2019 [MDPI, Special Issue on Sustainable Electric Power Systems Research]
- M. S.S. Danish, T. Senjyu, S.M.S. Danish, N.R. Sabory, K. Narayanan, and P. Mandal, “A Recap of Voltage Stability Indices in the Past Three Decades,” Energies, Vol. 12, No. 8, 2019 [MDPI, Special Issue on Advanced Techniques for Electronic Power and Energy Systems]
- T. G. Paul, S. J. Hossain, S. Ghosh, P. Mandal, and S. Kamalasadan, “A Quadratic Programming Based Optimal Power and Battery Dispatch for Grid Connected Micro Grid,” IEEE Transactions on Industry Applications, Vol. 54, No. 2, pp. 1793-1805, 2018.
- R. Shigenobu, M. Kinjo, P Mandal, A. Howlader, and T. Senjyu, “Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive,” Applied Sciences, Vol. 8, No. 8, 2018. [MDPI, Special Issue on Renewable Energy 2018]
- C. A.G. Rosales, M.A. Garcia, H. Kim, L.A. Chavez, D. Hodges, P. Mandal, Y. Lin, and B. Tseng, “3D printing of Shape Memory Polymer (SMP)/Carbon Black (CB) nanocomposites with electro-responsive toughness enhancement,” Materials Research Express, Vol. 5, No. 6, 2018.
- M. M. Sediqi, A.M. Ibrahimi, M.S.S. Danish, T. Senjyu, S. Chakraborty, and P. Mandal, “An Optimization Analysis of Cross-border Electricity Trading between Afghanistan and its Neighbor Countries,” IFAC-Papers Online, Vol. 51, No. 28, pp. 25-30, 2018 [Special Issue on Control and Operation of Power System; Elsevier]
- E. Galvan, P. Mandal*, A. U. Haque, and B. Tseng, "Optimal Placement of Intermittent Renewable Energy Resources and Energy Storage System in Smart Power Distribution Networks," Electric Power Components and Systems, Vol. 45, No. 14, 2017.
- R. Misra, S. Paudyal, O. Ceylan, and P. Mandal,"Harmonic Distortion Minimization in Power Grids with Wind and Electric Vehicles," Energies, Vol. 10, No. 7, 2017.
- K. Chalamasetty, P. Mandal*, and B. Tseng, “SCADA framework incorporating MANET and IDP for cyber security of residential microgrid communication network,” Smart Grid and Renewable Energy, Vol. 7, No. 3, pp. 104-112, 2016.
- F. Shariatzadeh, P. Mandal, and A. K. Srivastava, “Demand Response for Sustainable Energy Systems: A Review, Application and Implementation Strategy,” Renewable & Sustainable Energy Reviews, Vol. 45, pp. 343-350, 2015 (5-Year Impact Factor: 10.093 as of May 2019).
- A. Haque, P. Mandal*, J. Meng, and M. Negnevitsky, “Wind Speed Forecast Model for Wind Farm Based on a Hybrid Machine Learning Algorithm,” International Journal of Sustainable Energy, Vol. 34, No. 1, pp. 38-51, 2015.
- A. Yona, S. Tomonobu, T. Funabashi, P. Mandal, and C-H Kim, “Optimization Strategy for an Operational Planning of a Large PV System with Enhanced Electrical Vehicles,” International Journal of Sustainable Energy, Vol. 34, No. 1, pp. 10-22, 2015.
- P. Mandal*, H. Zareipour, and W. D. Rosehart, “Forecasting Aggregated Wind Power Production of Multiple Wind Farms Using Hybrid Wavelet-PSO-NNs”, International Journal of Energy Research, Vol. 38, No. 13, pp. 1654-1666, 2014.
- A. Yona, T. Senjyu, T. Funabashi, P. Mandal, C-H Kim, “Optimizing Re-planning for Smart House Operation Applying Solar Radiation Forecasting,” Applied Sciences, Vol. 4, No. 3, pp. 366-379, 2014.
- A. Haque, M. H. Nehrir, and P. Mandal, “A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting”, IEEE Transactions on Power Systems, Vol. 29, No. 4, pp. 1663-1672, 2014.
- A. Yona, T. Senjyu, T. Funabashi, P. Mandal, and C-H Kim, “Decision Technique of Solar Radiation Prediction Applying Recurrent Neural Network for Short-Term Ahead Power Output of Photovoltaic System,” Smart Grid and Renewable Energy, Vol. 4, No. 6A, pp. 32-38, 2013.
- A. Haque, P. Mandal*, J. Meng, A. K. Srivastava, B. Tseng, and T. Senjyu, “A Novel Hybrid Approach Based on Wavelet Transform and Fuzzy ARTMAP Network for Predicting Wind Farm Power Production,” IEEE Transactions on Industry Application, Vol. 49, No. 5, September/October 2013.
- P. Mandal*, A. Haque, J. Meng, A. K. Srivastava, and R. Martinez, “A Novel Hybrid Approach Using Wavelet, Firefly Algorithm, and Fuzzy ARTMAP for Day-Ahead Electricity Price Forecasting,” IEEE Transactions on Power Systems, Vol. 28, No. 2, May 2013.
- A. Haque, P. Mandal*, M. E. Kaye, J. Meng, L. Chang, and T. Senjyu, “A New Strategy for Predicting Short-Term Wind Speed Using Soft Computing Models,” Renewable & Sustainable Energy Reviews, Vol. 16, pp. 4563-4572, 2012 (5-Year Impact Factor: 10.093 as of May 2019)
- A. Haque, P. Mandal*, J. Meng, and R. L. Pineda, “Performance Evaluation of Different Optimization Algorithms for Power Demand Forecasting Applications in a Smart Grid Environment,” Procedia Computer Science, Vol. 12, pp. 320-325, 2012.
- P. Mandal*, S. T. S. Madhira, A. Haque, J. Meng, and R. L. Pineda, “Forecasting Power Output of Solar Photovoltaic System Using Wavelet Transform and Artificial Intelligence Techniques,” Procedia Computer Science, Vol. 12, pp. 332-337, 2012.
- P. Areekul, T. Senjyu, H. Toyama, S. Chakraborty, A. Yona, N. Urasaki, P. Mandal, and A. Y. Saber, “A New Method for Next-Day Price Forecasting for PJM Electricity Market,” International Journal of Emerging Electric Power Systems, Vol. 11, No. 2, Article 3, 2010.
- A. K. Srivastava, S. R. Rudraraju, P. Mandal, J. Solanki, and S. Khushalani, “Price Based Unit Commitment with Arbitrage and Emission Constraints Using Genetic Algorithm,” International Journal on Power System Optimization, Vol. 2, No. 1, pp. 125-131, 2009.
- P. Mandal*, A. K. Srivastava, T. Senjyu, and M. Negnevitsky, “A New Recursive Neural Network Algorithm to Forecast Electricity Price in PJM Day-Ahead Market,” International Journal of Energy Research, Vol. 34, No. 6, pp. 507-522, 2009.
- P. Mandal*, A. K. Srivastava, and J-W Park, “An Effort to Optimize Similar Days Parameters for ANN Based Electricity Price Forecasting,” IEEE Transactions on Industry Applications, Vol. 45, No. 5, pp. 1888-1896, Sept.-Oct. 2009 (2008 Prize Paper Award from the Energy Systems (ES) Committee, IEEE Industry Applications Society (IAS)).
- P. Mandal*, A. K. Srivastava, M. Negnevitsky, and J-W Park, “Sensitivity Analysis of Neural Network Parameters to Improve the Performance of Electricity Price Forecasting,” International Journal of Energy Research, Vol. 33, No. 1, pp. 38-51, January 2009.
- P. Mandal*, T. Senjyu, N. Urasaki, T. Funabashi, and A. K. Srivastava, “A Novel Approach to Forecast Electricity Price for PJM Using Neural Network and Similar Days Method,” IEEE Transactions on Power Systems, Vol. 22, No. 4, pp. 2058-2065, November 2007.
- P. Mandal, T. Senjyu, N. Urasaki, and T. Funabashi, “Electricity Price and Load Short-Term Forecasting Using Artificial Neural Networks,” International Journal of Emerging Electric Power Systems, Vol. 7, November 2006.
- P. Mandal, T. Senjyu, N. Urasaki, and T. Funabashi, “A Neural Network Based Several-Hour-Ahead Electric Load Forecasting Using Similar Days Approach,” International Journal of Electric Power and Energy System, Vol. 28, No. 6, pp. 367-373, July 2006.
- P. Mandal, T. Senjyu, and T. Funabashi, “Neural Networks Approach to Forecast Several-Hour-Ahead Electricity Prices and Loads in Deregulated Market,” Energy Conversion and Management, Vol. 47, Issues 15-16, Pages 2128-2142, September 2006 (5-Year Impact Factor: 6.161 as of May 2019).
- T. Senjyu, P. Mandal, K. Uezato, and T. Funabashi, “Next Day Load Curve Forecasting Using Hybrid Correction Method,” IEEE Transactions on Power Systems, Vol. 20, No. 1, pp. 102-109, February 2005.
- T. Senjyu, P. Mandal, K. Uezato, and T. Funabashi, “Next Day Load Curve Forecasting Using Recurrent Neural Network Structure,” IEE Proc. - Gener. Transm. Distrib, Vol. 151, No. 3, pp. 388-394, May 2004.
- T. Senjyu, P. Mandal, K. Uezato, and T. Funabashi, “Three-hour-ahead Load Forecasting Using Hybrid Correction Method,” Electric Power Components and Systems, Vol. 32, No. 4, pp. 337-352, April 2004.
- L. Garza, P. Mandal*, and G. Ravikumar, "Mitigation of Cyber Attacks in DER-Integrated Distribution Grid Using Deep Generative Models," in Proc. 2024 IEEE Power & Energy Society General Meeting (PESGM), July 21-25, 2024 (accepted).
- A. Avila and P. Mandal*, "Mitigation of Load Impacts of Commercial EVs on Distribution Grid with Effective Utilization of DERs," in Proc. 2024 IEEE Power & Energy Society General Meeting (PESGM), July 21-25, 2024 (accepted).
- T. Newbolt, P. Mandal*, H. Wang, and R. Zane, “Feasibility of Dynamic Wireless Power Transfer to Mitigate Load Demands Under Resiliency Events,” in Proc. 2024 IEEE Power and Energy Society General Meeting (PESGM), July 21-25, 2024 (accepted).
- A. Paudel, P. Mandal*, and G. Ravikumar, “Hyperparameter Tuned Hybrid DL Models for EV Charging Load Forecast,” in Proc. 2024 IEEE Power and Energy Society General Meeting (PESGM), July 21-25, 2024 (accepted).
- S. Darvishi Niafenderi and P. Mandal*, “Hyperparameter Tuned Hybrid DL Models and Similarity Method for PV Power Forecasting,” in Proc. 2024 IEEE Power and Energy Society General Meeting (PESGM), July 21-25, 2024 (accepted).
- O. S. Acosta and P. Mandal*, "Dynamic Stability Analysis of Grid-Connected PV Generation System Under Extreme Weather Events," in Proc. 2024 IEEE Power and Energy Society General Meeting (PESGM), July 21-25, 2024 (accepted).
- G. Ponce and P. Mandal*, “Model Predictive Control for Hybrid Microgrid Energy Management System Implementing V2G,” in Proc. 2024 IEEE Power and Energy Society General Meeting (PESGM), July 21-25, 2024 (accepted).
- D. Reyes-Cruz, D. Langarica-Cordoba, P. R. Martinez-Rodriguez, and P. Mandal, "PI Passivity-Based Control for a High-Gain Step-up Converter, in Proc. 2024 IEEE Power and Energy Society General Meeting (PESGM), July 21-25, 2024 (accepted).
- M. Newbolt and P. Mandal*, "Meteorological Data-Driven Traffic Flow Forecasting Using Intelligent Algorithms," in Proc. 2023 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA), November 6-9, 2023.
- D. Gandara and P. Mandal*, "Implementing Hydrokinetics and other DERs into Microgrid Energy Systems to Enrich Undergraduate Level Power Engineering Education," in Proc. 2023 North American Power Symposium, Oct. 14-17, 2023.
- O. S. Acosta, P. Mandal*, and T. Senjyu, "Offsetting Commercial Structure Electric Cooling Loads – Technical Analysis Using Grid Connected PV," in Proc. 2023 IEEE Industry Applications Society Annual Meeting, October 29 – November 2, 2023.
- A. Avila and P. Mandal*, "Impact of Commercial EV Loads on Power Grid," in Proc. 2023 IEEE Industry Applications Society Annual Meeting, October 29 – November 2, 2023.
- L. Garza and P. Mandal*, "Detection and Classification of False Data Injection Attacks in Power Grids Using Machine Learning and Hyperparameter Optimization methods", in Proc. 2023 IEEE Industry Applications Society Annual Meeting, October 29 – November 2, 2023.
- A. Paudel, A. Y. Montoya, and P. Mandal*, "Short-Term and Rolling Solar PV Power Forecasts: Performance Evaluation and Hyperparameter Tuning of Deep Learning Models," in Proc. 2023 IEEE Industry Applications Society Annual Meeting, October 29 – November 2, 2023.
- G. Ponce, P. Mandal*, and E. Galvan, "Integration of Battery Energy Storage Dispatch Using Model Predictive Control for Efficient Microgrid Energy Management System", in Proc. 2023 IEEE Industry Applications Society Annual Meeting, October 29 – November 2, 2023.
- N. Lee and P. Mandal*, "Temporal Convolutional Network Ensemble for Day-Ahead and Week-Ahead Electricity Price Forecasting," in Proc. 2023 IEEE Industry Applications Society Annual Meeting, October 29 – November 2, 2023.
- O. Quezada-Simental, P. Mandal*, E. Galvan, and S. Kamalasadan, "Leveraging Distributed EVs and PVs to Assess Networked Microgrids Resilience Against Extreme Weather Event," in Proc. 2023 IEEE Industry Applications Society Annual Meeting, October 29 – November 2, 2023.
- S. Darvishi Niafenderi and P. Mandal*, "Rolling and Day-Ahead Forecasting of Electricity Market Prices: Evaluating the Performance of DL Models with Bayesian Optimization", in Proc. 2023 IEEE Industry Applications Society Annual Meeting, October 29 – November 2, 2023.
- A. Avila and P. Mandal*, "Efficiency Contingency Factors for Commercial EVs Optimal Centralized Charging Stations," in Proc. 2023 IEEE Power & Energy Society General Meeting (PESGM), July 16-20, 2023.
- G. Ponce, P. Mandal*, and E. Galvan, "Battery Energy Storage to Mitigate Wind Power Intermittencies Using Model Predictive Control," in Proc. 2023 IEEE Power & Energy Society General Meeting (PESGM), July 16-20, 2023).
- T. Newbolt, P. Mandal*, H. Wang, and R. Zange, "Priority Load Control for Dynamic WPT Roadway in Electrified Transportation Infrastructure," in Proc. 2023 IEEE Power & Energy Society General Meeting (PESGM), July 16-20, 2023.
- D. Langarica-Cordoba, C. Beltran, P. Martinez-Rodriguez, A. Hernandez-Gomez, L. Diaz-Saldierna, P. Mandal and C. Mendez-Barrios, Passivity-Based Control for a Fuel Cell/Non-Inverting Buck-Boost Converter System," in Proc. 2023 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2023), 2023.
- S. Ueda, P. Mandal, A. Mikhaylov, H. Takahashi, E. Omine, and T. Senjyu, "Optimal Operation of On-Grid Park and Ride EV Parking Station with Model Predictive Control," in Proc. 2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE), 2023.
- Y. Tanigawa, M. Furukakoi, P. Mandal, A. Mikhaylov, H. Takahashi, and T. Senjyu, "Multi-Objective Optimization With Multiple Load Control Strategy," in Proc. 2023 5th Global Power, Energy and Communication Conference (GPECOM), 2023.
- A. Younesi, Zongjie Wang, S. A. Dorado-Rojas, and P. Mandal, "Quantification of DERs Penetration Level in
Microgrids: A Quest for Enhancing Short-Term Power Grid Resilience," in Proc. 2023 IEEE Power & Energy Society General Meeting (PESGM), July 16-20, 2023. - V. Cecchi, C. Smith-Orr, P. Mandal, and S. Kamalasadan, “Power Engineering CUrriculum Update with Situative Pedagogy and Concept Maps as Evaluation Tool,” 2023 ASEE Annual Conference & Education, Baltimore, MD, June 25-28, 2023.
- C. Smith-Orr, V. Cecchi, P. Mandal, and S. Kamalasadan, "Power Engineering Curriculum Update: Preliminary Evaluation of Student Concept Maps on Energy Forecasting," 2023 ASEE Annual Conference & Education, Baltimore, MD, June 25-28, 2023.
- Y. Tanigawa, M. Furukakoi, P. Mandal, A. Mikhaylov, H. Takahashi, and T. Senjyu, " Multi-objective optimization with multiple load control strategy," IEEE 5th Global Power, Energy and Communication Conference (IEEE GPECOM2023), June 14-16, 2023.
- T. Newbolt, P. Mandal*, H. Wang, and R. Zane, “Sustainability of Dynamic Wireless Power Transfer Roadway for In-motion Electric Vehicle Charging,” in Proc. 2023 IEEE PES North American Innovative Smart Grid Technologies (ISGT NA 2023), January 16-19, 2023 [Best Paper Contest Finalist (top 5) paper]
- L. F. Garza and P. Mandal*, "LSTM Based Hybrid Neural Network for PMU Data Forecasting and Anomaly Detection," in Proc. 2022 North American Power Symposium (NAPS2022), Oct. 9-11, 2022.
- D. Gandara, P. Mandal, V. Venkataramana, and M. Mohanpurkar, "Integrated Resource and System Planning Based on Energy Costs and Emission Analysis for a Sustainable Future," in Proc. 2022 North American Power Symposium (NAPS2022), Oct. 9-11, 2022.
- A. Y. Montoya and P. Mandal*, "Day-Ahead and Week-Ahead Solar PV Power Forecasting Using Deep Learning Neural Networks," in Proc. 2022 North American Power Symposium (NAPS2022), Oct. 9-11, 2022 [Best paper 1st place in UG category]
- A. Avila and P. Mandal*, "Optimal Centralized Charging Station With Demand Response System for Commercial EVs, in Proc. 2022 North American Power Symposium (NAPS2022), Oct. 9-11, 2022.
- O. Quezada-Simental, P. Mandal*, E. Galvan, and Z. Wang, "Leveraging Distributed EVs and PVs to Assess Networked Microgrids Resilience Against Extreme Weather Event," in Proc. 2022 IEEE Power & Energy Society General Meeting (PESGM2022), July 17-21, 2022.
- O. S. Acosta, P. Mandal*, E. Galvan, and T. Senjyu, "Integrated Photovoltaic (PV) System for Modeling Residential HVAC Loads – Technical Analysis," in Proc. 2022 IEEE Power & Energy Society General Meeting (PESGM2022), July 17-21, 2022. .
- A. Younesi, Z. Wang, H. T. Nguyen, and P. Mandal, "A Pathway to Enhance the Modern Distribution Systems Resilience: Flexible Behavior Investigations on Electric Vehicles," in Proc. 2022 IEEE Power & Energy Society General Meeting (PESGM), July 17-21, 2022.
- M. Chawla, A. Zade, T. Newbolt, P. Mandal, A. Kamineni, H. Wang, and R. Zane, "Comparative Analysis of Power Distribution Architectures for DWPT Charging Infrastructure," The 2022 IEEE Wireless Power Week Conference (WPW 2022), July 5-8, 2022.
- T. M. Newbolt, P. Mandal*, and H. Wang, “Implementation of Battery EVs and BESS into RAPSim Software to Enrich Power Engineering Education in DER-Integrated Distribution Systems,” in Proc. 2021 North American Power Symposium (NAPS2021), Nov. 14-16, 2021.
- O. Quezada-Simental, P. Mandal*, and E. Galvan, “Enhancing Distribution Grid Resilience to Power Outages Using Electric Vehicles in Residential Microgrids,” in Proc. 2021 North American Power Symposium (NAPS2021), Nov. 14-16, 2021
- D. A. Rosa de Jesús, P. Mandal*, T. Senjyu, and S. Kamalasadan, “Unsupervised Hybrid Deep Generative Models for Photovoltaic Synthetic Data Generation,” in Proc. 2021 IEEE Power & Energy Society General Meeting (PESGM), July 26-29, 2021.
- V. Cecchi, C. Smith-Orr, F. Atchison, S. Kamalasadan, P. Mandal, and I. Lopez, “Assessing Student Perceptions of Emerging Concepts in Power & Energy Systems via Concept Maps: Rubric Development,” 2021 IEEE Frontiers in Education Conference (FIE), pp. 1-4, 2021.
- Liu, T. Kato, P. Mandal, A. Mikhaylov, A. M. Hemeida, and T. Senjyu, “Multi-area Power System Load Frequency Control by using Model Predictive Control by Introducing Renewable Energy Sources,” in Proc. 2021 International Conference on Science & Contemporary Technologies (ICSCT), 2021.
- Y. Tetsuya, M. Sugimura, P. Mandal, T. Senjyu, A. Hemeida, and H. Takahashi, "Optimal Operation Plan for Renewable Energy and CCHP in Smart City," in Proc. 2020 IEEE TENCON, IEEE Region 10 Conference, November 16-19, 2020.
- L. Liu, T. Senjyu, T. Kato, P. Mandal, A. M. Hemeida, and A. Howlader, "Renewable Energy Power System Frequency Control by Using PID Controller and Genetic Algorithm," in Proc. 2020 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), September 20-23, 2020.
- D. A. Rosa de Jesus, P Mandal*, Y-K Wu, and T Senjyu, "Deep Learning Ensemble Based New Approach for Very Short-Term Wind Power Forecasting," in Proc. 2020 IEEE Power & Energy Society General Meeting (PESGM), August 2-6, 2020.
- Y. Wen, D. AlHakeem, P. Mandal*, S. Chakraborty, Y-K Wu, T. Senjyu, S. Paudyal, and B. Tseng, “Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty,” in Proc. 2020 IEEE Power & Energy Society General Meeting (PESGM), August 2-6, 2020.
- M. Sugimura, T. Senjyu, N. Krishna, P. Mandal, M. Abdel-Akher and A. Hemeida, “Sizing and Operation Optimization for Renewable Energy Facilities with Demand Response in Micro-grid,” in Proc. 2019 The 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019, December 10-14, 2019.
- L. Liu, T. Senjyu, T. Kato, P. Mandal, A. M. Hemeida, M. Abdel-Akher, "Frequency Control Approach by Controlling Output Power of Renewable Energy Sources Considering the Priority of Power Adjustment," in Proc. IEEE APPEEC 2019, 11th IEEE PES Asia-Pacific Power and Energy Engineering Conference, December 2019.
- D. A. Rosa de Jesus, P. Mandal*, S. Chakraborty, T. Senjyu, and M. Velez-Reyes, "Data Fusion Based Hybrid Deep Neural Network Method for Solar PV Power Forecasting, in Proc. 2018 North American Power Symposium (NAPS2019), October 13-15, 2019.
- D. A. Rosa de Jesus, P Mandal*, S Chakraborty, and T Senjyu, “Solar PV Power Prediction Using A New Approach Based on Hybrid Deep Neural Network,” in Proc. 2019 IEEE Power & Energy Society General Meeting (PESGM), August 4-8, 2019.
- H. R. Howlader, H. Akter, A. Y. Saber, P. Mandal, N. Krishna, and T. Senjyu, "Independent Energy Storage Systems can Minimize Uncertainty of Profit for Retailers in ISO Market," in Proc. 2019 IEEE International Conference on Electro Information Technology (EIT), 20-22 May 2019.
- Y-K Wu, S.-M Chang, and Mandal, “Grid-Connected Wind Power Plants: A Survey on the Integration Requirements in Modern Grid Codes,” in Proc. 2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS), May 5-8, 2019.
- M. S. S. Danish, H. Matayoshi, H.R. Howlader, S. Chakraborty, P. Mandal, and T. Senjyu, “Microgrid Planning and Design: Resilience to Sustainability,” in Proc. 2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia), March 19-23, 2019.
- H. Aoyagi, S. Chakraborty, P. Mandal, R. Shigenobu, A. Conteh, and T. Senjyu, “Unit Commitment Considering Uncertainty of Price-Based Demand Response,” in Proc. 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Oct. 7-10 2018.
- E. Galvan, P Mandal*, S. Chakraborty, and A.Y. Saber, “Efficient Transactive Control for Energy Storage Management System in Prosumer-Centric Networked Microgrids,” in Proc. 2018 North American Power Symposium (NAPS2018), September 9-11, 2018.
- Y. Susowake, A.M. Ibrahimi, M.S.S. Danish, T. Senjyu, A.M. Howlader, and P. Mandal, “Multi-Objective Design of Power System Introducing Seawater Electrolysis Plant for Remote Island,” in Proc. 2018 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), October 7-10, 2018.
- Y. Susowake, H. Yongyi, T. Senjyu, A.M. Howlader, and P. Mandal, “Optimum Operation Plan for Multiple Existing EV Charging Stations,” in Proc. 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), October 7-10, 2018
- M. M. Sediqi, A.M. Ibrahimi, M.S.S. Danish, T. Senjyu, S. Chakraborty, and P. Mandal, “An Optimization Analysis of Cross-border Electricity Trading between Afghanistan and its Neighbor Countries,” in Proc. 10th IFAC Symposium on Control of Power and Energy Systems CPES 2018, 4–6 September 2018.
- A. U. Haque, P. Mandal, A. Bhuiya, R. Baker, Member, and B. Tseng, “Suppressing Wind Farm Output Power Fluctuation and Improving Power System Stability Using Battery Energy Storage System,” 2016 CIGRE Canada Conference, Vancouver, BC Canada, October 17-19, 2016.
- G. Paul, S. Kamalasadan, P. Mandal, S. Ghosh, “A Quadratic Programming Based Optimal Power and Battery Dispatch for Grid Connected Micro Grid,” in Proc. 2016 IEEE Industry Applications Society (IAS) Annual Meeting, IAS2016, October 2-6, 2016.
- E. Galvan, P. Mandal*, M. Velez-Reyes, and S. Kamalasadan, “Transactive Control Mechanism for Efficient Management of EVs Charging in Transactive Energy Environment,” in Proc. 2016 North American Power Symposium (NAPS2016), September 18-20, 2016.
- S. M. Sajjadi, P. Mandal*, B. Tseng, and M. Velez-Reyes, “Transactive Energy Market in Distribution Systems: A Case Study of Energy Trading Between Transactive Nodes,” in Proc. 2016 North American Power Symposium (NAPS2016), September 18-20, 2016.
- V. M. Loya-Garnica, B. Tseng, C-C Huang, R. Chiou, P. Mandal, L. M. Rodriguez and K. Dominguez, “A Cell Formation Algorithm for Sequential Processes with Alternative Machine Selection in the Automotive Lighting Industry,” in Proc. 2016 Industrial and Systems Engineering Research Conference (ISERC), May 21-24, 2016.
- G. K. Chalamasetty, P. Mandal*, and B. Tseng, “Secure SCADA Communication Network for Detecting and Preventing Cyber-Attacks on Power Systems,” in Proc. 2016 Clemson University Power System Conference, PSC 2016, Co-sponsored by IEEE, Clemson University, Clemson, SC, March 8-11, 2016.
- H. Tahara, N. Urasaki, T. Senjyu, and P. Mandal, “Optimal Schedule of Electric Vehicle Charging Station Considering Uncertainty of Solar Insolation,” in Proc. 2015 IEEE Intl Future Energy Electronics Conference, November 1-4, 2015.
- E. Galvan, P. Mandal*, B. Tseng, and M. Velez-Reyes, “Energy Storage Dispatch Using Adaptive Control Scheme Considering Wind-PV in Smart Distribution Network,” in Proc. 47th North American Power Symposium (NAPS2015), IEEE-PES, September 2015.
- R. M. Peri, P. Mandal*, A. U. Haque, and B. Tseng, “Very Short-Term Prediction of Wind Farm Power: An Advanced Hybrid Intelligent Approach,” in Proc. 2015 IEEE Industrial Application Society (IAS) Annual Meeting, October 2015.
- D. AlHakeem, P. Mandal*, A. Haque, A. Yona, T. Senjyu, and B. Tseng, “A New Strategy to Quantify Uncertainties of Wavelet-GRNN-PSO Based Solar PV Power Forecasts Using Bootstrap Confidence Intervals,” in Proc. 2015 IEEE Power & Energy Society General Meeting, PESGM 2015, Denver, July 26-30, 2015.
- S. H. Elyas, P. Mandal*, A. Haque, A. Giani, and B. Tseng, “A New Hybrid Optimization Algorithm for Solving Economic Load Dispatch Problem with Valve-Point Effect,” in Proc. 46th North American Power Symposium (NAPS2014), September 2014.
- A. U. Haque, P. Mandal, H. M. Nehrir, A. Bhuiya, and R. Baker, “A Hybrid Intelligent Framework for Wind Power Forecasting Engine,” 14th Electrical Power and Energy Conference 2014, IEEE, Calgary, Canada.
- E. D. Smith, B. Tseng, P. Mandal, and A. Akundi, “Attributions Biases in Mentoring & Teaching Green Energy Manufacturing,” Alliance of Hispanic Serving Institutions Educators (AHSIE), 6th Annual HSI/Title V Best Practice Conference, University of La Verne in La Verne, CA, 2014.
- B. Tseng, R, Chiou, P. Mandal, E. D. Smith, R. Belu, and O. Salcedo, “Fusing Green Energy into Manufacturing Engineering Education to Cultivate Technical Success,” 121st ASEE Annual Conference & Exposition, American Society for Engineering Education, Indianapolis, IN, 2014.
- P. Mandal*, A. Haque, S. T. S. Madhira, and D. I. Al-Hakeem, “Applying Wavelets to Predict Solar PV Output Power Using Generalized Regression Neural Network,” in Proc. 45th North American Power Symposium (NAPS2013), IEEE-PES, September 2013.
- A. U. Haque, M. H. Nehrir, and P. Mandal, “Solar PV Power Generation Forecast Using a Hybrid Intelligent Approach,” in Proc. 2013 IEEE Power & Energy Society General Meeting, July 2013.
- B. Tseng, R. Chiou, P. Mandal, C. Garcia, N. Espino, Z. Hu, D. Romo, and M. Corella, “Cyber Based Layer Manufacturing with an On-line Testing System,” Proceedings of the American Society for Engineering Education 2013 Conference, Atlanta, GA, June 23-26, 2013.
- B. Tseng, L. Zheng, K. Fraser, J. C. Ho, J. Mendez, N. Espino, P. Mandal, C. C. Huang, and R. Chiou, “E-quality Control in Solar Panel Inspection Using Photometric Stereo Reconstruction and 3D Measurement,” Proceedings of the Industrial Systems Engineering Research 2012 Conference, San Juan, Puerto Rico, May 18-22, 2013.
- Tseng, N. Vargas-Hernandez, R. Chiou, P. Mandal, K. V. Koppella, M. Gonzalez, and Mendez, J.V., “Integrating Rapid Manufacturing with Cyber Facility and Tutor System into Engineering Education,” Proceedings of the American Society for Engineering Education 2012, San Antonio, TX, June 10-13, 2012.
- B. Tseng, F. Jiang, C. C. Huang, R. Chiou, P. Mandal, M. Gonzalez, K. V. Koppella, and J. Saavedra, J., “Quality Control of Bio Scaffold Using Intelligent Data Mining,” Proceedings of the Industrial Systems Engineering Research 2012, Orlando, FL, May 19-23, 2012.
- B. Tseng, J. Zheng, V. J. Mendez, P. Mandal, K. V. Koppella, C. C. Huang, R. Chiou, and C. Garcia, “E-quality Control in Solar Panel Inspection Using Photometric Stereo Reconstruction,” Proceedings of the Industrial Systems Engineering Research 2012, Orlando, FL, May 19-23, 2012.
- B. Tseng, N. Vargas-Hernandez, R. Chiou, P. Mandal, M. Gonzalez, J. V. Mendez, and J. Saavedra, “Cyber Based Layer Manufacturing with Virtual Facility,” Proceedings of the 2012 ASEE Gulf-Southwest Annual Conference, University of Texas, El Paso, TX, April 4-6, 2012.
- A. U. Haque, P. Mandal*, J. Meng, and R. L. Pineda, “Performance Evaluation of Different Optimization Algorithms for Power Demand Forecasting Applications in a Smart Grid Environment,” in Proc. Complex Adaptive Systems Conference November 2012. (Recipient of Best Theoretical Award – 1st Runner-Up).
- P. Mandal*, S. T. S. Madhira, A. Haque, J. Meng, and R. L. Pineda, “Forecasting Power Output of Solar Photovoltaic System Using Wavelet Transform and Artificial Intelligence Techniques,” in Proc. Complex Adaptive Systems Conference, November 2012.
- A. U. Haque, R. Errouissi, P. Mandal, E. G. Castillo, J. Meng, and W. T. Walsh, “Real Time Implementation of Wind Power Forecasting,” CanWEA 28th Annual Conference and Exhibition, October 14-17, 2012, Toronto, ON, Canada.
- A. Yona, T. Funabashi, C-H Kim, and P. Mandal, “Operational Planning Strategy Applying Demand Response to Large PV/Battery System,” in Proc. 2012 International Conference on Renewable Energy Research and Applications (ICRERA), November 2012.
- A. U. Haque, P. Mandal*, J. Meng, A. K. Srivastava, B. Tseng, and T. Senjyu, “A Novel Hybrid Approach Based on Wavelet Transform and Fuzzy ARTMAP Network for Predicting Wind Farm Power Production”, in Proc. 2012 IEEE Industrial Application Society (IAS) Annual Meeting, October 2012.
- P. Mandal*, A. Haque, J. Meng, R. Martinez, and A. K. Srivastava, “A Hybrid Intelligent Algorithm for Short-Term Energy Price Forecasting in the Ontario Market” in Proc. 2012 IEEE Power & Energy Society General Meeting, July 2012.
- H. Y. See Tao, A. K. Srivastava, R. L. Pineda, and P. Mandal*, “Wind Power Generation Impact on Electricity Price in ERCOT”, in Proc. 2012 IEEE Power & Energy Society General Meeting, July 2012.
- A. U. Haque, P. Mandal, M. E. Kaye, J. Meng, and L. Chang, “A New Strategy for Wind Speed Forecasting Using Hybrid Intelligent Models,” in Proc. 25th Annual Canadian Conference on Electrical and Computer Engineering, April 2012.
- A. U. Haque, P. Mandal, M. E. Kaye, J. Meng, and L. Chang, “Short-Term Wind Speed Forecasting Using Soft Computing Models,” CanWEA 27th Annual Conference and Exhibition, Vancouver, BC, Canada, October 3-6, 2011.
- S. S. Soman, H. Zareipour, O. Malik, and P. Mandal, “A Review of Wind Power and Wind Speed Forecasting Methods With Different Time Horizons,” in Proc. 42nd North American Power Symposium (NAPS), NAPS2010 IEEE-PES, September 2010.
- M. Negnevitsky, P. Mandal, and A. K. Srivastava, “Applications of Intelligent Algorithm in Forecasting of Load Demand, Electricity Price, and Wind Power Prediction”, in Proc. International Conference on Artificial Intelligence in Science and Technology (AISAT), Hobart, Australia, November 23-24, 2009.
- M. Negnevitsky, P. Mandal, and A. K. Srivastava, and, “Machine Learning Applications for Load, Price and Wind Power Prediction in Power Systems”, in Proc. The 15th International Conference on Intelligent System Application to Power Systems, ISAP2009, November 2009.
- M. Negnevitsky, P. Mandal, and A. K. Srivastava, “An overview of Forecasting Problems and Techniques in Power Systems”, in Proc. 2009 IEEE Power & Energy Society General Meeting, July 2009.
- P. Mandal*, A. K. Srivastava, and M. Negnevitsky, “Improving Performance of NN Based Electricity Price Forecasting Using Sensitivity Analysis,” in Proc. 2009 IEEE PES Power Systems Conference and Exposition (PSCE 2009), March 2009.
- P. Mandal, A. K. Srivastava, M. Negnevitsky, and J-W Park, “An Effort to Optimize Similar Days Parameters for ANN Based Electricity Price Forecasting,” in Proc. 2008 IEEE Industrial Applications Society Annual Meeting, October 2008.
- P. Mandal*, T. Senjyu, A. Yona, J-W Park, and A. K. Srivastava, “Sensitivity Analysis of Similar Days Parameter for Predicting Short-Term Electricity Price,” in Proc. 39th North American Power Symposium, NAPS2007, September 2007.
- P. Mandal*, T. Senjyu, N. Urasaki, A. Yona, T. Funabashi, and A. K. Srivastava, “Price Forecasting for Day-Ahead Electricity Market Using Recursive Neural Network,” in Proc. 2007 IEEE Power Engineering Society General Meeting, June 2007.
- P. Mandal*, T. Senjyu, N. Urasaki, T. Funabashi, and A. K. Srivastava, “Short-Term Price Forecasting for Competitive Electricity Market,” in Proc. 38th North American Power Symposium, NAPS2006, September 2006.
- P. Mandal*, T. Senjyu, N. Urasaki, T. Funabashi, and A. K. Srivastava, “A Novel Approach to Forecast Day-Ahead Electricity Price Using Artificial Neural Network,” Young Engineer Poster Competition (YPC), IEEJ Power and Energy Society Annual meeting 2006, Okinawa, Japan, September 13, 2006 (Recipient of Young Engineer 2006 Award).
- P. Mandal*, T. Senjyu, N. Urasaki, T. Funabashi, and A. K. Srivastava, “Electricity Price Forecasting for PJM Day-Ahead Market,” in Proc.2006 IEEE PES Power Systems Conference and Exposition, PSCE 2006, October/November 2006.
- P. Mandal, T. Senjyu, and T. Funabashi, “Neural Network Models to Predict Short-Term Electricity Prices and Loads,” in Proc. 2005 IEEE International Conference on Industrial Technology, ICIT 2005, December 2005.
- P. Mandal, T. Senjyu, K. Uezato, and T. Funabashi, “Several-Hours-Ahead Electricity Prices and Loads Forecasting Using Neural Networks,” in Proc. 2005 IEEE Power Engineering Society General Meeting, June 2005.
- P. Mandal, T. Senjyu, K. Uezato, and T. Funabashi, “Short-Term Electricity Price and Load Forecasting Using Artificial Neural Network,” in Proc. IEICE and IEEJ joint conference, Okinawa, Japan, December 2004.
- P. Mandal, T. Senjyu, K. Uezato, and T. Funabashi, “Forecasting Several-Hours-Ahead Electricity Demand Using Neural Network,” in Proc. 2004 IEEE International Conference on Electricity Utility Deregulation, Restructuring and Power Technologies, DRPT-2004, April 2004 (Recipient of IEEE Excellent Student Award).
- P. Mandal, T. Senjyu, K. Uezato, and T. Funabashi, “A Neural Network Approach to Forecast Several-Hours-Ahead Load Forecasting,” in Proc. IEICE and IEEJ joint conference, September 2003.