Uncertainty Set Prediction of Aggregated Wind Power Generation based on Bayesian LSTM and Spatio-Temporal Analysis

no code implementations • 7 Oct 2021 • Xiaopeng Li, Jiang Wu, Zhanbo Xu, Kun Liu, Jun Yu, Xiaohong Guan

This paper focuses on the uncertainty set prediction of the aggregated generation of geographically distributed wind farms.

Optimal Operation of a Hydrogen-based Building Multi-Energy System Based on Deep Reinforcement Learning

no code implementations • 22 Sep 2021 • Liang Yu, Shuqi Qin, Zhanbo Xu, Xiaohong Guan, Chao Shen, Dong Yue

To overcome the challenge, we reformulate the problem as a Markov game and propose an energy management algorithm to solve it based on multi-agent discrete actor-critic with rules (MADACR).

energy management Management +1

Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings

no code implementations • 25 Jun 2020 • Liang Yu, Yi Sun, Zhanbo Xu, Chao Shen, Dong Yue, Tao Jiang, Xiaohong Guan

In this paper, we intend to minimize the energy cost of an HVAC system in a multi-zone commercial building under dynamic pricing with the consideration of random zone occupancy, thermal comfort, and indoor air quality comfort.

reinforcement-learning Reinforcement Learning (RL)