A5016658060- Building Energy and Comfort Optimization
- Smart Grid Energy Management
- Energy Load and Power Forecasting
- DNA and Biological Computing
- Wind and Air Flow Studies
- Electric and Hybrid Vehicle Technologies
- Environmental Impact and Sustainability
- Energy Efficiency and Management
- Urban Heat Island Mitigation
- Sensorless Control of Electric Motors
- Vehicle Dynamics and Control Systems
- Advanced biosensing and bioanalysis techniques
- Adsorption and Cooling Systems
- Smart Grid and Power Systems
- BIM and Construction Integration
- Industrial Technology and Control Systems
- Integrated Energy Systems Optimization
- Electric Vehicles and Infrastructure
- Refrigeration and Air Conditioning Technologies
- Cellular Automata and Applications
- Evaluation Methods in Various Fields
- Advanced Image and Video Retrieval Techniques
- Energy, Environment, Economic Growth
- Fuel Cells and Related Materials
- Video Analysis and Summarization
Tongji University
2015-2024
Guangzhou University
2021-2024
Key Laboratory of Guangdong Province
2023-2024
Jiangnan University
2023-2024
Qiannan Normal College For Nationalities
2023-2024
Yunnan University of Finance And Economics
2024
Civil Aviation Flight University of China
2019-2023
Zhejiang University of Science and Technology
2023
Jiangsu Institute of Metrology
2023
Dalian University of Technology
2019-2022
Predicting short term electricity load accurately is critical to facilitate demand side management in the building sector. For buildings that have sub-metering systems installed, it possible predict both total and loads of individual service (air conditioning, lighting, power, other equipment). In this paper, a method based on Support Vector Machine (SVM) proposed at system level. each type system, 24 SVM models (one model per hour) were trained deployed hourly load. The inputs for...