| Reinforced Deterministic and Probabilistic Load Forecasting via -Learning Dynamic Model Selection C Feng, M Sun, J Zhang IEEE Transactions on Smart Grid 11 (2), 1377-1386, 2019 | 109 | 2019 |
| Conditional aggregated probabilistic wind power forecasting based on spatio-temporal correlation M Sun, C Feng, J Zhang Applied Energy 256, 113842, 2019 | 83 | 2019 |
| Probabilistic solar power forecasting based on weather scenario generation M Sun, C Feng, J Zhang Applied Energy 266, 114823, 2020 | 73 | 2020 |
| Multi-distribution ensemble probabilistic wind power forecasting M Sun, C Feng, J Zhang Renewable Energy 148, 135-149, 2020 | 50 | 2020 |
| A two-step short-term probabilistic wind forecasting methodology based on predictive distribution optimization M Sun, C Feng, EK Chartan, BM Hodge, J Zhang Applied energy 238, 1497-1505, 2019 | 40 | 2019 |
| Characterizing forecastability of wind sites in the United States C Feng, M Sun, M Cui, EK Chartan, BM Hodge, J Zhang Renewable Energy 133, 1352-1365, 2019 | 23 | 2019 |
| Deep learning-based probabilistic anomaly detection for solar forecasting under cyberattacks M Sun, L He, J Zhang International Journal of Electrical Power & Energy Systems 137, 107752, 2022 | 14 | 2022 |
| Break-even analysis of battery energy storage in buildings considering time-of-use rates M Sun, CL Chang, J Zhang, A Mehmani, P Culligan 2018 IEEE Green Technologies Conference (GreenTech), 95-99, 2018 | 14 | 2018 |
| Factoring behind-the-meter solar into load forecasting: Case studies under extreme weather M Sun, C Feng, J Zhang 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020 | 13 | 2020 |
| Grid optimization of shared energy storage among wind farms based on wind forecasting K Zhu, S Chowdhury, M Sun, J Zhang 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 1-5, 2018 | 7 | 2018 |
| Probabilistic short-term wind forecasting based on pinball loss optimization M Sun, C Feng, J Zhang, EK Chartan, BM Hodge 2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018 | 6 | 2018 |
| Data-driven anomaly detection in modern power systems M Sun, J Zhang Security of Cyber-Physical Systems: Vulnerability and Impact, 131-143, 2020 | 5 | 2020 |
| Aggregated probabilistic wind power forecasting based on spatio-temporal correlation M Sun, C Feng, J Zhang 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 5 | 2019 |
| A reverse current tracking based LVRT strategy for doubly fed induction generator (DFIG) H Qingjun, S Mucun, Z Xudong, T Li, X Wei, C Jianqing IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society …, 2013 | 5 | 2013 |
| Advanced machine learning applications to modern power systems C Feng, M Sun, M Dabbaghjamanesh, Y Liu, J Zhang New Technologies for Power System Operation and Analysis, 209-257, 2021 | 4 | 2021 |
| Design of Power Electronic Load System Simulating Motor Port Characteristics [J] H Qingjun, S Mucun, Z Xudong, L Liangchun, X Wei Automation of Electric Power Systems 38 (3), 71, 2014 | 4 | 2014 |
| A data-driven method for adaptive reserve requirement estimation via probabilistic net load forecasting C Feng, M Sun, J Zhang, K Doubleday, BM Hodge, P Du 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 3 | 2020 |
| Windview C Gamble, B Hodge, P Edwards, EK Chartan, J Duckworth, A Shrirang, ... National Renewable Energy Lab.(NREL), Golden, CO (United States); Argonne …, 2018 | 2 | 2018 |
| Data-Driven Probabilistic Anomaly Detection for Electricity Market under Cyber Attacks M Sun, L Ren, N Chiang 2021 American Control Conference (ACC), 4586-4591, 2021 | 1 | 2021 |
| WISP: Watching grid Infrastructure Stealthily through Proxies L Ren, A Osman, F Lin, N Chiang, M Sun, R Melville, F Koufogiannis, ... Raytheon Technologies Research Center, 2022 | | 2022 |
Jie ZhangAssociate Professor, University of Texas at DallasVerificeret mail på utdallas.edu
