no code implementations • 23 Aug 2024 • Zhaoyang Qu, Zhenming Zhang, Nan Qu, Yuguang Zhou, Yang Li, Tao Jiang, Min Li, Chao Long
This study proposed a novel deep time series aggregation scheme (DTSAs) to generate typical operational scenarios, considering the large amount of historical operational snapshot data.
1 code implementation • 7 Aug 2023 • Huichao Zhang, Bowen Chen, Hao Yang, Liao Qu, Xu Wang, Li Chen, Chao Long, Feida Zhu, Kang Du, Min Zheng
We present AvatarVerse, a stable pipeline for generating expressive high-quality 3D avatars from nothing but text descriptions and pose guidance.
no code implementations • 21 Jan 2023 • Yang Li, Meng Han, Mohammad Shahidehpour, Jiazheng Li, Chao Long
A community integrated energy system (CIES) is an important carrier of the energy internet and smart city in geographical and functional terms.
no code implementations • 27 Dec 2022 • Yang Li, Fanjin Bu, Yuanzheng Li, Chao Long
Multi-uncertainties from power sources and loads have brought significant challenges to the stable demand supply of various resources at islands.
no code implementations • 2 Nov 2022 • Yang Li, Ruinong Wang, Yuanzheng Li, Meng Zhang, Chao Long
To handle the data privacy and openness, we propose a forecasting scheme that combines federated learning and deep reinforcement learning (DRL) for ultra-short-term wind power forecasting, called federated deep reinforcement learning (FedDRL).