Shengyuan Zhong

Multi-agent deep reinforcement learning optimization framework for building energy system with renewable energy

Rendong Shen, Shengyuan Zhong, Xin Wen et al. · Applied Energy · 2022 · 113 citations

Engineering, Intelligent Energy System, Energy Management +7

Predicting the performance of solar dish Stirling power plant using a hybrid random vector functional link/chimp optimization model

Mohamed E. Zayed, Jun Zhao, Wenjia Li et al. · Solar Energy · 2021 · 79 citations

Electrical Engineering, Engineering, Power Plant +9

Comprehensive parametric analysis, design and performance assessment of a solar dish/Stirling system

Mohamed E. Zayed, Jun Zhao, Ammar H. Elsheikh et al. · Process Safety and Environmental Protection · 2020 · 67 citations

Engineering, Solar Power, Energy Efficiency +9

Deep reinforcement learning framework for dynamic pricing demand response of regenerative electric heating

Shengyuan Zhong, Xiaoyuan Wang, Jun Zhao et al. · Applied Energy · 2021 · 65 citations

Engineering, Reinforcement Learning (Computer Engineering), Deep Reinforcement +9

Energy, exergy, and economic analysis of a data center energy system driven by the CO2 ground source heat pump: Prosumer perspective

Xiaoyuan Wang, Hao Li, Yongzhen Wang et al. · Energy Conversion and Management · 2021 · 47 citations

Data Center Management, Engineering, Smart Grid +12