• Ph D in Electrical Engineering, Power System, University of the Ryukyus (2005)
• MS in Energy Economics and Planning, Asian Institute of Technology (2002)

• Improving the resilience of large-scale power systems using distributed static series compensators International Journal of Electrical Power & Energy Systems 145 (2023), Izaz Zunnurain, Yuanrui Sang, Paras Mandal, Miguel Velez-Reyes, Jose F. Espiritu Nolasco.
• A coherent strategy for peak load shaving using energy storage systems Journal of Energy Storage 32 (2020), Sayed M. Danish, Mikaeel Ahmadi, Mir S. Danish, Paras Mandal, Atsushi Yona, Tomonobu Senjyu.
• A contemporary novel classification of voltage stability indices Applied Sciences 10 5 (2020), Hameedullah Zaheb, Mir S. Danish, Tomonobu Senjyu, Mikaeel Ahmadi, Abdul M. Nazari, Mohebullah Wali, Mahdi Khosravy, Paras Mandal.
• Demand Response Economic Assessment with the Integration of Renewable Energy for Developing Electricity Markets Sustainability 12 7 (2020), Abdul Conteh, Mohammed E. Lotfy, Oludamilare B. Adewuyi, Paras Mandal, Hiroshi Takahashi, Tomonobu Senjyu.
• Energy Storage System Analysis Review for Optimal Unit Commitment Energies 13 1 (2020), Harun O. Howlader, Oludamilare B. Adewuyi, Ying-Yi Hong, Paras Mandal, Ashraf Mohamed Hemeida, Tomonobu Senjyu.
• M-Shape PV Arrangement for Improving Solar Power Generation Efficiency Applied Sciences 10 2 (2020), Yongyi Huang, Ryuto Shigenobu, Atsushi Yona, Paras Mandal, Zengfeng Yan, Tomonobu Senjyu.
• 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 123 (2020), Eric Galvan, Paras Mandal, Yuanrui Sang.
• Data Fusion Based Hybrid Deep Neural Network Method for Solar PV Power Forecasting 2019 North American Power Symposium (NAPS) (2019), Dan A. Rosa de Jesus, Paras Mandal, Miguel Velez-Reyes, Shantanu Chakraborty, Tomonobu Senjyu.
• A Recap of Voltage Stability Indices in the Past Three Decades Preprints (2019), Mir S. Danish, Tomonobu Senjyu, Sayed M. Danish, Najib R. Sabory, K Narayanan, Paras Mandal.
• An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone Sustainability 11 10 (2019), Abdul Conteh, Mohammed E. Lotfy, Kiptoo M. Kipngetich, Tomonobu Senjyu, Paras Mandal, Shantanu Chakraborty.
• Data Fusion Based Hybrid Deep Neural Network Method for Solar PV Power Forecasting (2019), De Jes\'us, Dan A Rosa, Paras Mandal, Miguel Velez-Reyes, Shantanu Chakraborty, Tomonobu Senjyu.
• Frequency control approach by controlling output power of renewable energy sources considering the priority of power adjustment (2019), Lei Liu, Tomonobu Senjyu, Takeyoshi Kato, Paras Mandal, Ashraf M. Hemeida, Mamdouh Abdel-Akher.
• Grid-Connected Wind Power Plants: A Survey on the Integration Requirements in Modern Grid Codes (2019), Yuan-Kang Wu, Shih-Ming Chang, Paras Mandal.
• Grid-connected wind power plants: a survey on the integration requirements in modern grid codes IEEE Transactions on Industry Applications 55 6 (2019), Yuan-Kang Wu, Shih-Ming Chang, Paras Mandal.
• Microgrid Planning and Design: Resilience to Sustainability (2019), MSS Danish, H Matayoshi, HR Howlader, S Chakraborty, Paras Mandal, T Senjyu.
• Optimum Capacity and Placement of Storage Batteries Considering Photovoltaics Sustainability 11 9 (2019), Hiroki Aoyagi, Ryota Isomura, Paras Mandal, Narayanan Krishna, Tomonobu Senjyu, Hiroshi Takahashi.
• 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 31 4 (2019), Yuxin Wen, Donna AlHakeem, Paras Mandal, Shantanu Chakraborty, Yuan-Kang Wu, Tomonobu Senjyu, Sumit Paudyal, Tzu-Liang Tseng.
• Sizing and Operation Optimization for Renewable Energy facilities with Demand Response in Micro-grid (2019), Makoto Sugimura, Tomonobu Senjyu, Narayanan Krishna, Paras Mandal, Mamdouh Abdel-Akher, Ashraf M. Hemeida.
• Solar PV Power Prediction Using A New Approach Based on Hybrid Deep Neural Network (in press), D. A. Rosa de Jesus, Paras Mandal, S. Chakraborty, T. Senjyu.

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