4 citations · 6 across the 5 of their papers we have counts for
6 papers
Joint Scheduling of Workload Demand and Energy Supply in Low-carbon Data Centers with Decision-Dependent Uncertainty Set
Maoyuan Ma, Wangyi Guo, Lei Yang +2
This paper addresses the joint scheduling problem of stochastic workloads and a hydrogen-enabled distributed energy system in a low-carbon Internet data centers (IDC). Although suc…
Cross-Domain Transfer Learning Method for Thermal Adaptive Behavior Recognition with WiFi
Zhaohe Lv, Guoliang Zhao, Zhanbo Xu +3
A reliable comfort model is essential to improve occupant satisfaction and reduce building energy consumption. As two types of the most common and intuitive thermal adaptive behavi…
Proximal ADMM for Nonconvex and Nonsmooth Optimization
Yu Yang, Qing-Shan Jia, Zhanbo Xu +2
By enabling the nodes or agents to solve small-sized subproblems to achieve coordination, distributed algorithms are favored by many networked systems for efficient and scalable co…
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…
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…