Dinesh Kumar Mahto

About

Dinesh Kumar Mahto (Graduate Student Member, IEEE) received his master’s degree in power systems from Birla Institute of Technology, Mesra Ranchi, India, in 2019. He is currently working toward the Ph.D. degree with the Department of Electrical Engineering, Malaviya National Institute of Technology (MNIT), India. His research interests include machine learning applications in active distribution networks.

Employment

• DAV Institute of Engineering & Technology Assistant Professor
  2019 - 2020

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (4)

• MPGCN-OPF: A Message Passing Graph Convolution Approach for Optimal Power Flow for Distribution Network
  2022 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) 2022 DOI: 10.1109/pedes56012.2022.10080112
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• Deep Recurrent Mixer Models for Load Forecasting in Distribution Network
  2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation (SeFeT) 2022 DOI: 10.1109/sefet55524.2022.9909155
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• Learning Approach for Energy Consumption Forecasting in Residential Microgrid
  2022 IEEE Kansas Power and Energy Conference (KPEC) 2022 DOI: 10.1109/kpec54747.2022.9814744
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• Data Driven Approach for Optimal Power Flow in Distribution Network
  2021 5th International Conference on Information Systems and Computer Networks (ISCON) 2021 DOI: 10.1109/iscon52037.2021.9702343
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