| Power generation efficiency and prospects of floating photovoltaic systems L Liu, Q Wang, H Lin, H Li, Q Sun Energy Procedia 105, 1136-1142, 2017 | 271 | 2017 |
| Prediction of short-term PV power output and uncertainty analysis L Liu, Y Zhao, D Chang, J Xie, Z Ma, Q Sun, H Yin, R Wennersten Applied energy 228, 700-711, 2018 | 268 | 2018 |
| Evaluating the benefits of integrating floating photovoltaic and pumped storage power system L Liu, Q Sun, H Li, H Yin, X Ren, R Wennersten Energy Conversion and Management 194, 173-185, 2019 | 120 | 2019 |
| Forecasting power output of photovoltaic system using a BP network method L Liu, D Liu, Q Sun, H Li, R Wennersten Energy Procedia 142, 780-786, 2017 | 119 | 2017 |
| Prediction of photovoltaic power generation based on general regression and back propagation neural network J Zhong, L Liu, Q Sun, X Wang Energy Procedia 152, 1224-1229, 2018 | 70 | 2018 |
| Peak shaving and valley filling potential of energy management system in high-rise residential building Y Wang, L Liu, R Wennersten, Q Sun Energy Procedia 158, 6201-6207, 2019 | 34 | 2019 |
| Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model L Liu, F Bai, C Su, C Ma, R Yan, H Li, Q Sun, R Wennersten Energy 247, 123417, 2022 | 32 | 2022 |
| Research on short-term optimization for integrated hydro-PV power system based on genetic algorithm L Liu, Q Sun, Y Wang, Y Liu, R Wennersten Energy Procedia 152, 1097-1102, 2018 | 26 | 2018 |
| High-rise building peak load shaving using rooftop attached PV Y Wang, H Lin, L Liu, R Wennersten, Q Sun Energy Procedia 152, 484-489, 2018 | 14 | 2018 |
| A weight-varying ensemble method for short-term forecasting PV power output L Liu, Y Zhao, Y Wang, Q Sun, R Wennersten Energy Procedia 158, 661-668, 2019 | 13 | 2019 |
| Energy Procedia L Liu, Q Wang, H Lin, H Li, Q Sun, R Wennersten Elsevier BV, 2017 | 11 | 2017 |
| Prediction of short-term output of photovoltaic system based on generalized regression neural network L Liu, Y Zhao, Q Sun, R Wennersten 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), 1-6, 2017 | 7 | 2017 |
| Day-ahead Forecast of Photovoltaic Power Based on A Novel Stacking Ensemble Method L Liu, Q Sun, R Wennersten, Z Chen IEEE Access, 2023 | 5 | 2023 |
| Optimal Energy Management of Data Center Micro-Grid Considering Computing Workloads Shift L Liu, X Shen, Z Chen, Q Sun, R Wennersten IEEE Access, 2024 | 1 | 2024 |
| Corrigendum to ‘‘Evaluating the benefits of Integrating Floating Photovoltaic and Pumped Storage Power System’’[Energy Convers. Manag. 194 (2019) 173–185] L Liu, Q Sun, H Li, H Yin, X Ren, R Wennersten Energy Conversion and Management 312, 118526, 2024 | 1 | 2024 |
| Characterizing the Volatility of Wholesale Electricity Spot Prices in Australia L Liu, Q Sun, H Li, Q Huang, R Wennersten DEStech Transactions on Environment, Energy and Earth Sciences, 2019 | 1 | 2019 |
| Evaluating the benefits of Integrating Floating Photovoltaic and Pumped Storage Power System (vol 194, pg 173, 2019) L Liu, Q Sun, H Li, H Yin, X Ren, R Wennersten Energy Conversion and Management 312, 2024 | | 2024 |
| DUAL-STAGE OPTIMAL SCHEDULING FOR A GRID-CONNECTED MICROGRID L Liu, C Su, Q Sun, Q Huang, R Wennersten | | 2021 |
