39 citations · 64 across the 15 of their papers we have counts for
5 papers · 1 filter
A General Formulation for Evaluating the Performance of Linear Power Flow Models
Zhentong Shao, Qiaozhu Zhai, Xiaohong Guan
Linear power flow (LPF) models are essential in power system analysis. Various LPF models are proposed, but some crucial questions are still remained: what is the performance bound…
Uncertainty Set Prediction of Aggregated Wind Power Generation based on Bayesian LSTM and Spatio-Temporal Analysis
Xiaopeng Li, Jiang Wu, Zhanbo Xu +3
Aggregated stochastic characteristics of geographically distributed wind generation will provide valuable information for secured and economical system operation in electricity mar…
Optimal Operation of a Hydrogen-based Building Multi-Energy System Based on Deep Reinforcement Learning
Liang Yu, Shuqi Qin, Zhanbo Xu +3
Since hydrogen has many advantages (e.g., free pollution, extensive sources, convenient storage and transportation), hydrogen-based multi-energy systems (HMESs) have received wide…
Deep Reinforcement Learning for Smart Grid Protection Against Coordinated Multistage Transmission Line Attacks
Liang Yu, Zhen Gao, Shuqi Qin +4
With the increase of connectivity in power grid, a cascading failure may be triggered by the failure of a transmission line, which can lead to substantial economic losses and serio…
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings
Liang Yu, Yi Sun, Zhanbo Xu +4
In commercial buildings, about 40%-50% of the total electricity consumption is attributed to Heating, Ventilation, and Air Conditioning (HVAC) systems, which places an economic bur…