646 citations
- State Key Laboratory of Metastable Materials Science and Technology69 papers
- Chinese Academy of SciencesCN30 papers
- Institute of PhysicsPL21 papers
- Nankai UniversityCN15 papers
- Nanjing UniversityCN13 papers
- University of Chinese Academy of SciencesCN13 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN11 papers
- Nanyang Technological UniversitySG8 papers
- Center for High Pressure Science and Technology Advanced ResearchCN7 papers
- Lanzhou UniversityCN7 papers
- Ningbo Institute of Industrial TechnologyCN7 papers
- Skolkovo Institute of Science and TechnologyRU7 papers
8 papers · 1 filter
Low-Ripple Modulation Strategy for a Photovoltaic-Based Triple-Port Hydrogen Production System
Shiqi Zhang, Ziang Jiao, Jiaxin Su +4
Among various production methods, hydrogen generation via electrolysis powered by renewable energy plays a key role in achieving large-scale green hydrogen production. The triple a…
Joint Trading and Scheduling among Coupled Carbon-Electricity-Heat-Gas Industrial Clusters
Dafeng Zhu, Bo Yang, Yu Wu +4
This paper presents a carbon-energy coupling management framework for an industrial park, where the carbon flow model accompanying multi-energy flows is adopted to track and suppre…
Distributed Localization in Dynamic Networks via Complex Laplacian
Xu Fang, Lihua Xie, Xiaolei Li
Different from most existing distributed localization approaches in static networks where the agents in a network are static, this paper addresses the distributed localization prob…
Integrated Relative-Measurement-Based Network Localization and Formation Maneuver Control (Extended Version)
Xu Fang, Lihua Xie, Xiaolei Li
This paper studies the problem of integrated distributed network localization and formation maneuver control. We develop an integrated relative-measurement-based scheme, which only…
Privacy-Preserved Aggregate Thermal Dynamic Model of Buildings
Zeyin Hou, Shuai Lu, Yijun Xu +4
The thermal inertia of buildings brings considerable flexibility to the heating and cooling load, which is known to be a promising demand response resource. The aggregate model tha…
Energy Management Based on Multi-Agent Deep Reinforcement Learning for A Multi-Energy Industrial Park
Dafeng Zhu, Bo Yang, Yuxiang Liu +3
Owing to large industrial energy consumption, industrial production has brought a huge burden to the grid in terms of renewable energy access and power supply. Due to the coupling…