A5064183268- Smart Grid Energy Management
- Building Energy and Comfort Optimization
- Energy Load and Power Forecasting
- Electric Vehicles and Infrastructure
- Advanced Battery Technologies Research
- Electric Power System Optimization
- Advanced Measurement and Metrology Techniques
- Grey System Theory Applications
- Energy Efficiency and Management
- Greenhouse Technology and Climate Control
- Advanced machining processes and optimization
- Advanced Numerical Analysis Techniques
- Advanced Data Compression Techniques
- Energy, Environment, and Transportation Policies
- Power Systems and Renewable Energy
- Microgrid Control and Optimization
- Image and Signal Denoising Methods
- Risk and Safety Analysis
- Energy, Environment, Economic Growth
- Solar Radiation and Photovoltaics
- Machine Learning and ELM
- Medical Imaging Techniques and Applications
- Optimal Power Flow Distribution
- Traffic Prediction and Management Techniques
- Urban Heat Island Mitigation
Dalian Medical University
2025
Tongji University
2024
Tsinghua University
2024
Wuhan University
2024
Naval University of Engineering
2021-2024
Xichang University
2024
North Sichuan Medical University
2024
Southeast University
2021-2023
Central South University
2013-2023
Civil Aviation Management Institute of China
2016-2023
Smart and energy-efficient buildings have recently become a trend for future building industry. The major challenge in the control system design such is to minimize power consumption without compromising customers comfort. For this purpose, hierarchical multiagent with an intelligent optimizer proposed study. Four types of agents, which are switch agent, central coordinator-agent, local controller-agent, load cooperate each other achieve overall goals. Particle swarm optimization (PSO)...
In this paper, a new control system with an intelligent optimizer is developed which can be applied to energy and comfort management in the smart energy-efficient buildings. Hierarchical multi-agent theory used build system, contains agent-controllers at two levels - central coordinator-agent higher level multiple local controller-agents lower level. Particle Swarm Optimization (PSO) adopted optimize set points of during operations. This utilized minimize main conflict buildings terms power...
Purpose Innovation is the combination of idea generation and implementation. Sourcing relevant credible external knowledge critical for individuals to generate new feasible ideas reduce uncertainty The purpose this study investigate effects sourcing on employee’s innovations behavior. Design/methodology/approach data were collected by paper-based survey in four Chinese companies’ R&D departments consisted 569 valid responses. Structure equitation modeling method was used test hypotheses....
In order to improve the control performance of micro gas turbine in full range operating conditions, this paper proposes a new technique based on hybridization improved particle swarm optimization algorithm and cuckoo search (HIPSO_CS) tune fuzzy PID controller parameters. Firstly, traditional is by linearly decreasing number particles value inertia weight. Secondly, algorithm's local random walk strategy introduced into enhance particles' diversity. Through comparing with algorithms,...
In this paper, a multi-agent based control framework is proposed for energy and comfort management in integrated smart building micro-grid systems. This system operates independently from the power grid, distributed renewable resources including solar, wind, batteries supply to whole building. A with particle swarm optimizer (PSO) developed work, which made up of central coordinator-agent multiple local controller-agents. Also several load agents are utilized emergency situations. Simulation...
Dissolved oxygen (DO) is an important indicator of aquaculture, and its accurate forecasting can effectively improve the quality aquatic products. In this paper, a new DO hybrid model proposed that includes three stages: multi-factor analysis, adaptive decomposition, optimization-based ensemble. First, considering complex factors affecting DO, grey relational (GR) degree method used to screen out environmental most closely related DO. The consideration multiple makes fusion more effective....