| Sustainable community based PV-storage planning using the Nash bargaining solution J Liang, A Shirsat, W Tang International Journal of Electrical Power & Energy Systems 118, 105759, 2020 | 12 | 2020 |
| Quantifying residential demand response potential using a mixture density recurrent neural network A Shirsat, W Tang International Journal of Electrical Power & Energy Systems 130, 106853, 2021 | 9 | 2021 |
| Data-driven stochastic model predictive control for DC-coupled residential PV-storage systems A Shirsat, W Tang IEEE Transactions on Energy Conversion 36 (2), 1435-1448, 2021 | 9 | 2021 |
| Hierarchical multi-timescale framework for operation of dynamic community microgrid A Shirsat, V Muthukaruppan, R Hu, N Lu, M Baran, D Lubkeman, W Tang 2021 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2021 | 7 | 2021 |
| Identification of the potential of residential demand response using artificial neural networks A Shirsat, W Tang 2019 North American Power Symposium (NAPS), 1-6, 2019 | 6 | 2019 |
| A load switching group based feeder-level microgrid energy management algorithm for service restoration in power distribution system R Hu, Y Li, S Zhang, A Shirsat, V Muthukaruppan, W Tang, M Baran, ... 2021 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2021 | 5 | 2021 |
| Sensitivity analysis of time-of-use rates on operations of home energy management systems A Shirsat, W Tang 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 4 | 2020 |
| SA-HMTS: A Secure and Adaptive Hierarchical Multi-timescale Framework for Resilient Load Restoration Using A Community Microgrid A Shirsat, V Muthukaruppan, R Hu, V Paduani, B Xu, L Song, Y Li, N Lu, ... arXiv preprint arXiv:2202.05252, 2022 | 3 | 2022 |
| A Secure and Adaptive Hierarchical Multi-Timescale Framework for Resilient Load Restoration Using a Community Microgrid A Shirsat, V Muthukaruppan, R Hu, VD Paduani, B Xu, L Song, Y Li, N Lu, ... IEEE Transactions on Sustainable Energy 14 (2), 1057-1075, 2023 | 2 | 2023 |
| Towards A Resilient and Intelligent Energy Management System Design for Distribution Networks with High Renewable Energy Penetration. A Shirsat North Carolina State University, 2022 | 1 | 2022 |
| A Novel Feeder-level Microgrid Unit Commitment Algorithm Considering Cold-load Pickup, Phase Balancing, and Reconfiguration R Hu, A Shirsat, V Muthukaruppan, S Zhang, Y Li, L Song, B Xu, ... arXiv preprint arXiv:2301.08350, 2023 | | 2023 |
| Volt-var device monitor V Joshi, A Shirsat US Patent 11,555,837, 2023 | | 2023 |
| Volt-var device monitor V Joshi, A Shirsat US Patent 11,555,837, 2023 | | 2023 |
| Feeder Microgrid Management on an Active Distribution System during a Severe Outage V Muthukaruppan, A Shirsat, R Hu, V Paduani, B Xu, Y Li, M Baran, N Lu, ... arXiv preprint arXiv:2208.10712, 2022 | | 2022 |
| 1 ConvEDNet: A Convolutional Energy Disaggregation Network Using Continuous Point-On-Wave Measurements A Shirsat, H Sun, KJ Kim, J Guo, D Nikovski 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | | 2022 |
| Volt-var device monitor V Joshi, A Shirsat US Patent App. 16/009,492, 2019 | | 2019 |
| Dual tracking efficiency improvement method for photovoltaic systems A Kak, M Srinivasan, A Shirsat, JO Chandle 2016 International Conference on Microelectronics, Computing and …, 2016 | | 2016 |
| Sensitivity Analysis of TOU Rates on Daily Operation of Home Energy Management Systems A Shirsat, W Tang | | |
Wenyuan TangAssociate Professor, North Carolina State UniversityEmail confirmado em ncsu.edu
