Aggregate Model of District Heating Network for Integrated Energy Dispatch: A Physically Informed Data-Driven Approach

1 code implementation • 21 Aug 2023 • Shuai Lu, Zihang Gao, Yong Sun, Suhan Zhang, Baoju Li, Chengliang Hao, Yijun Xu, Wei Gu

Second, we propose a physics-informed estimator for the AGM that is robust to low-quality measurements, in which the physical constraints associated with the parameter normalization and sparsity are embedded to improve the accuracy and robustness.

Faster and Safer Training by Embedding High-Level Knowledge into Deep Reinforcement Learning

no code implementations • 22 Oct 2019 • Haodi Zhang, Zihang Gao, Yi Zhou, Hao Zhang, Kaishun Wu, Fangzhen Lin

Deep reinforcement learning has been successfully used in many dynamic decision making domains, especially those with very large state spaces.

Decision Making reinforcement-learning +1