Area of research
Media Technology · Environmental Engineering
Research interest
Research focused on Artificial intelligence and Wind power, with related work in Wind speed, Terrain, Demand response. Notable publications include 'New hybrid approach for short-term wind speed predictions based on preprocessing algorithm and optimization theory', 'A novel approach for wind farm micro-siting in complex terrain based on an improved genetic algorithm', and 'Low-carbon benefits analysis of energy-intensive industrial demand response resources for ancillary services'.
SSPFusion: A semantic structure-preserving approach for multi-modality image fusion
IAIFNet: An Illumination-Aware Infrared and Visible Image Fusion Network
A novel approach for wind farm micro-siting in complex terrain based on an improved genetic algorithm
New hybrid approach for short-term wind speed predictions based on preprocessing algorithm and optimization theory
Low-carbon benefits analysis of energy-intensive industrial demand response resources for ancillary services