| Short-term electrical load forecasting using the Support Vector Regression (SVR) model to calculate the demand response baseline for office buildings Y Chen, P Xu, Y Chu, W Li, Y Wu, L Ni, Y Bao, K Wang Applied Energy 195, 659-670, 2017 | 578 | 2017 |
| Measures to improve energy demand flexibility in buildings for demand response (DR): A review Y Chen, P Xu, J Gu, F Schmidt, W Li Energy and buildings 177, 125-139, 2018 | 316 | 2018 |
| Physical energy and data-driven models in building energy prediction: A review Y Chen, M Guo, Z Chen, Z Chen, Y Ji Energy Reports 8, 2656-2671, 2022 | 170 | 2022 |
| Quantification of electricity flexibility in demand response: Office building case study Y Chen, Z Chen, P Xu, W Li, H Sha, Z Yang, G Li, C Hu Energy 188, 116054, 2019 | 115 | 2019 |
| Experimental investigation of demand response potential of buildings: Combined passive thermal mass and active storage Y Chen, P Xu, Z Chen, H Wang, H Sha, Y Ji, Y Zhang, Q Dou, S Wang Applied Energy 280, 115956, 2020 | 81 | 2020 |
| A simplified HVAC energy prediction method based on degree-day H Sha, P Xu, C Hu, Z Li, Y Chen, Z Chen Sustainable Cities and Society 51, 101698, 2019 | 73 | 2019 |
| Overview of computational intelligence for building energy system design H Sha, P Xu, Z Yang, Y Chen, J Tang Renewable and Sustainable Energy Reviews 108, 76-90, 2019 | 64 | 2019 |
| Extracting typical occupancy data of different buildings from mobile positioning data G Jiefan, X Peng, P Zhihong, C Yongbao, J Ying, C Zhe Energy and buildings 180, 135-145, 2018 | 62 | 2018 |
| Multi-objective residential load scheduling approach for demand response in smart grid Z Chen, Y Chen, R He, J Liu, M Gao, L Zhang Sustainable Cities and Society 76, 103530, 2022 | 50 | 2022 |
| A novel short-term load forecasting framework based on time-series clustering and early classification algorithm Z Chen, Y Chen, T Xiao, H Wang, P Hou Energy and Buildings 251, 111375, 2021 | 44 | 2021 |
| Electricity demand response schemes in China: Pilot study and future outlook Y Chen, L Zhang, P Xu, A Di Gangi Energy 224, 120042, 2021 | 38 | 2021 |
| Solar and wind power data from the Chinese state grid renewable energy generation forecasting competition Y Chen, J Xu Scientific Data 9 (1), 577, 2022 | 27 | 2022 |
| Physics-informed neural networks for building thermal modeling and demand response control Y Chen, Q Yang, Z Chen, C Yan, S Zeng, M Dai Building and Environment 234, 110149, 2023 | 26 | 2023 |
| Short-term metropolitan-scale electric load forecasting based on load decomposition and ensemble algorithms Y Chu, P Xu, M Li, Z Chen, Z Chen, Y Chen, W Li Energy and Buildings 225, 110343, 2020 | 25 | 2020 |
| Optimal control strategies for demand response in buildings under penetration of renewable energy Y Chen, Z Chen, X Yuan, L Su, K Li Buildings 12 (3), 371, 2022 | 22 | 2022 |
| Dynamic modeling of solar-assisted ground source heat pump using Modelica Y Chen, Z Chen, Z Chen, X Yuan Applied Thermal Engineering 196, 117324, 2021 | 21 | 2021 |
| A machine learning-based control strategy for improved performance of HVAC systems in providing large capacity of frequency regulation service H Wang, Z Ding, R Tang, Y Chen, C Fan, J Wang Applied Energy 326, 119962, 2022 | 15 | 2022 |
| An XGBoost-Based predictive control strategy for HVAC systems in providing day-ahead demand response H Wang, Y Chen, J Kang, Z Ding, H Zhu Building and Environment 238, 110350, 2023 | 14 | 2023 |
| Validation of electronic anti-fouling technology in the spray water side of evaporative cooler L Zhang, Y Chen, M Gao, X Li, Z Lin International Journal of Heat and Mass Transfer 93, 624-628, 2016 | 12 | 2016 |
| Electricity demand flexibility performance of a sorption-assisted water storage on building heating Y Chen, A Desai, F Schmidt, P Xu Applied Thermal Engineering 156, 640-652, 2019 | 11 | 2019 |
