| Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method S Wang, N Zhang, L Wu, Y Wang Renewable Energy 94, 629-636, 2016 | 625 | 2016 |
| A fully-decentralized consensus-based ADMM approach for DC-OPF with demand response Y Wang, L Wu, S Wang IEEE Transactions on Smart Grid 8 (6), 2637-2647, 2016 | 245 | 2016 |
| Robust optimization for load scheduling of a smart home with photovoltaic system C Wang, Y Zhou, B Jiao, Y Wang, W Liu, D Wang Energy Conversion and Management 102, 247-257, 2015 | 144 | 2015 |
| Distributed optimization approaches for emerging power systems operation: A review Y Wang, S Wang, L Wu Electric Power Systems Research 144, 127-135, 2017 | 139 | 2017 |
| On practical challenges of decomposition-based hybrid forecasting algorithms for wind speed and solar irradiation Y Wang, L Wu Energy 112, 208-220, 2016 | 103 | 2016 |
| A novel wind speed forecasting method based on ensemble empirical mode decomposition and GA-BP neural network Y Wang, S Wang, N Zhang 2013 IEEE Power & Energy Society General Meeting, 1-5, 2013 | 41 | 2013 |
| A fully distributed asynchronous approach for multi-area coordinated network-constrained unit commitment Y Wang, L Wu, J Li Optimization and Engineering 19 (2), 419-452, 2018 | 24 | 2018 |
| Improving economic values of day-ahead load forecasts to real-time power system operations Y Wang, L Wu IET Generation, Transmission & Distribution 11 (17), 4238-4247, 2017 | 19 | 2017 |
| Hourly Solar Irradiation Prediction Based on Empirical Mode Decomposition and ELM S Wang, Y Wang, Y Liu, N Zhang Electric Power Automation Equipment 34 (8), 7-12, 2014 | 14* | 2014 |
| Robust load scheduling in a smart home with photovoltaic system Y Zhou, C Wang, B Jiao, Y Wang Energy Procedia 61, 772-776, 2014 | 11 | 2014 |
| Optimal bidding strategy for day-ahead power market J Li, Z Li, Y Wang 2015 North American Power Symposium (NAPS), 1-6, 2015 | 10 | 2015 |
| Challenges in applying the empirical mode decomposition based hybrid algorithm for forecasting renewable wind/solar in practical cases Y Wang, L Wu, S Wang 2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016 | 5 | 2016 |
| Wind speed forecasting modelling by combination of masking signal based empirical mode decomposition and GA-BP neural network N ZHANG, S WANG, Y WANG Electric Power 47 (5), 129-135, 2014 | 2 | 2014 |
| Parallel Gaussian Elimination on Single-chip Cloud Computer Y Wang, C Dai, C Liu, L Wu 2015 North American Power Symposium (NAPS), 1-5, 2015 | | 2015 |
