| 基于多模型融合 Stacking 集成学习方式的负荷预测方法 史佳琪， 张建华 中国电机工程学报 39 (14), 4032-4042, 2019 | 73 | 2019 |
| A comprehensive review of standards for distributed energy resource grid-integration and microgrid J Shi, L Ma, C Li, N Liu, J Zhang Renewable and Sustainable Energy Reviews 170, 112957, 2022 | 71 | 2022 |
| Load forecasting based on multi-model by stacking ensemble learning J Shi, J Zhang Proceedings of the CSEE 39 (14), 4032-4042, 2019 | 71 | 2019 |
| Load forecasting based on multi-model by stacking ensemble learning S Jiaqi, Z Jianhua Proceedings of the CSEE 39 (14), 4032-4042, 2019 | 67 | 2019 |
| Artificial intelligence for load forecasting: A stacking learning approach based on ensemble diversity regularization J Shi, C Li, X Yan Energy 262, 125295, 2023 | 65 | 2023 |
| Multi-task learning based on deep architecture for various types of load forecasting in regional energy system integration J Shi, T Tan, J Guo, Y Liu, J Zhang Power system technology 42 (3), 698-707, 2018 | 62 | 2018 |
| 电–热–气综合能源系统多能流计算方法 王英瑞， 曾博， 郭经， 史佳琪， 张建华 电网技术 40 (10), 2942-2950, 2016 | 52 | 2016 |
| Electricity, heat, and gas load forecasting based on deep multitask learning in industrial-park integrated energy system L Zhang, J Shi, L Wang, C Xu Entropy 22 (12), 1355, 2020 | 45 | 2020 |
| An edge computing-oriented net power forecasting for PV-assisted charging station: Model complexity and forecasting accuracy trade-off J Shi, N Liu, Y Huang, L Ma Applied Energy 310, 118456, 2022 | 35 | 2022 |
| Generalized energy flow analysis considering electricity gas and heat subsystems in local-area energy systems integration J Shi, L Wang, Y Wang, J Zhang Energies 10 (4), 514, 2017 | 28 | 2017 |
| 基于深度结构多任务学习的园区型综合能源系统多元负荷预测 史佳琪， 谭涛， 郭经， 刘阳， 张建华 电网技术 42 (3), 698-706, 2018 | 27 | 2018 |
| Optimal scheduling of distribution system with edge computing and data-driven modeling of demand response J Han, N Liu, J Shi Journal of modern power systems and clean energy 10 (4), 989-999, 2021 | 16 | 2021 |
| Daily peak load forecasting based on sequential-parallel ensemble learning J Shi, L Ma, C Li, N Liu, J Zhang Proc. CSEE 40 (14), 4463-4472, 2020 | 16 | 2020 |
| 计及多个独立运营商的综合能源系统分布式低碳经济调度 史佳琪， 胡浩， 张建华 电网技术 43 (1), 127-136, 2019 | 16 | 2019 |
| 基于串行–并行集成学习的高峰负荷预测方法 史佳琪， 马丽雅， 李晨晨， 刘念， 张建华 中国电机工程学报 40 (14), 4463-4472, 4726, 2020 | 12 | 2020 |
| 基于 CVaR 理论的综合能源系统经济优化调度 胡浩， 王英瑞， 曾博， 张建华， 史佳琪 电力自动化设备 37 (6), 209-219, 2017 | 12 | 2017 |
| Ultra short-term photovoltaic refined forecasting model based on deep learning J Shi, J Zhang Electric Power Construction 38 (6), 28-35, 2017 | 11 | 2017 |
| Coordinated optimal operation method of the regional energy internet R Long, J Liu, C Lu, J Shi, J Zhang Sustainability 9 (5), 848, 2017 | 10 | 2017 |
| Multivariate load forecasting of park-type integrated energy system based on deep structure multi-task learning [J] S Jiaqi, T Tao, G Jing, L Yang, Z Jianhua Power System Technology 42 (03), 698-707, 2018 | 9 | 2018 |
| Operating strategy for local-area energy systems integration considering uncertainty of supply-side and demand-side under conditional value-at-risk assessment J Shi, Y Wang, R Fu, J Zhang Sustainability 9 (9), 1655, 2017 | 9 | 2017 |