| Journals |
| Author (s) |
Title |
| Dipanshu Naware, Arghya Mitra |
Data-Driven Technology Applications in Planning, Demand-Side Management, and Cybersecurity for Smart Household Community," in IEEE Transactions on Artificial Intelligence, vol. 5, no. 10, pp. 4868-4883, Oct. 2024, doi: 10.1109/TAI.2024.3417389 |
| Shahare, Kamini, Arghya Mitra, Dipanshu Naware, Ritesh Keshri, and H. M. Suryawanshi. |
Performance analysis and comparison of various techniques for short-term load forecasting." Energy Reports 9 (2023): 799-808. https://doi.org/10.1016/j.egyr.2022.11.086 |
| Naware, Dipanshu, Raviteja Badigenchala, Arghya Mitra, and Debapriya Das |
Impact of demand response on battery energy storage degradation using gbest-guided artificial bee colony algorithm with forecasted solar insolation." Journal of Energy Storage 52 (2022): 104915. https://doi.org/10.1016/j.est.2022.104915 |
| Thogaru, Ram Babu, Dipanshu Naware, Arghya Mitra, and Jeetendra Chaudhary |
Resiliency‐Driven Approach of DC Microgrid Voltage Regulation Based on Droop Index Control for High Step‐Up DC‐DC Converter." International Transactions on Electrical Energy Systems 2022, no. 1 (2022): 3676438. |
| Naware, Dipanshu, and Arghya Mitra. |
Weather classification-based load and solar insolation forecasting for residential applications with LSTM neural networks." Electrical Engineering 104, no. 1 (2022): 347-361. https://doi.org/10.1007/s00202-021-01395-2 |
| Conferences |
| Bhanu Prashanth T., Dipanshu Naware |
Soc-aware Capacity Fade Optimization of LiFePO4 Battery in Hybrid Energy Storage System-aided Low Voltage Distribution System", IEEE 6th International Conference on Sustainable Energy and Future Electric Transportation (SEFET - 2026). (Accepted) |
| Raghavendra Naik, M K Siva Krishna Prasad, Dipanshu N., Ishan S. |
EV Charging Demand Forecasting using Machine Learning Models: A Data-Driven Approach for Optimizing Charging Station Capacity", IEEE Power Electronics Smart Grid and Renewable Energy Conference (PESGRE) 2025. (Accepted) |
| Atharva R., Akshaiy T., Dipanshu N. |
Co-adaptive Reinforcement Learning-based Attacker-Defender Model for Secured Smart Distribution System", 2025 IEEE Fourth International Conference on Smart Technologies for Power, Energy and Control (STPEC). |
| Naware, D., Chourey, S., Sachdev, H.S. |
Techno-economic Aspects of Energy Storage System for Residential Microgrid Applications with Green Hydrogen. In: Badar, A.Q.H., Alam, M.N., Berrada, A. (eds) Smart Grid Security and Protection. ICSPER 2024. Lecture Notes in Electrical Engineering, vol 1307. Springer, Singapore. https://doi.org/10.1007/978-981-96-0824-9_34 |
| Naware, Dipanshu, Hira Singh Sachdev, and Saransh Chourey. |
Investigating the Role of Data Preprocessing for Load Demand Forecasters in Smart Household Applications." In 2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T), pp. 333-338. IEEE, 2024. |
| Turk, Ana, Aysegül Kahraman, Guangya Yang, George Sideratos, Alexandros Paspatis, Panos Kotsampopoulos, Kamini Shahare, Arghya Mitra, and Dipanshu Naware |
Deployment of forecasting tools in diverse demonstration areas to improve energy scheduling of microgrids." CIRED (2023): 2170-2174. |
| Badigenchala, Raviteja, Dipanshu Naware, and Arghya Mitra. |
Modelling of Lithium-ion Battery Ageing for a Local Energy Community." In 2021 International Conference on Intelligent Technologies (CONIT), pp. 1-6. IEEE, 2021. |
| Fatnani, Megha, Dipanshu Naware, and Arghya Mitra. |
Design of solar PV based EV charging station with optimized battery energy storage system." In 2020 IEEE First International Conference on Smart Technologies for Power, Energy and Control (STPEC), pp. 1-5. IEEE, 2020. |
| Book Chapters |
| Dipanshu Naware |
Incentive-based Demand Response Program for Low-Voltage Smart Distribution Systems." In Sustainable Distribution Systems: Integrated Planning of Renewable Energy Resources, Electric Vehicle and Green Energy Storage, CRC Press (Accepted). |
| D. Govind, Dipanshu Naware, Pratik N., H.M. Suryavanshi |
Real Implementations of Grid-Forming Inverters" (Accepted). |
| Chourey, S., and D. Naware. |
A Multi-criterion Decision-Making Approach Toward Optimal Selection of Lithium Batteries for Electric Vehicle Applications." Role of Plug-in Electric Vehicles in Grid Management Services. CRC Press, 2025. 119-136. |
| Babu, Thogaru Ram, Naware Dipanshu, Prasad Papana Venkata, and Mallala Balasubbareddy. |
Conceptualizing grid-to-vehicle and vehicle-to-grid modes of electric vehicles for energy management in direct current microgrid coupled with demand response." In Renewable Energy for Plug-In Electric Vehicles, pp. 235-262. Elsevier, 2024. https://doi.org/10.1016/B978-0-443-28955-2.00015-9 |
| Shahare, Kamini, Dipanshu Naware, Arghya Mitra, and Ritesh Keshri. |
Smart load forecasting methodologies." In Smart Metering, pp. 51-74. Elsevier, 2024. |
| Naware, Dipanshu, Ram Babu Thogaru, and Arghya Mitra. |
Integration of Renewable Sources and Energy Storage Devices." In Planning of Hybrid Renewable Energy Systems, Electric Vehicles and Microgrid: Modeling, Control and Optimization, pp. 759-783. Singapore: Springer Nature Singapore, 2022. |