Jinyue Yan

Jinyue Yan works on renewable energy systems, with a strong focus on solar photovoltaics (PV) - the technology that converts sunlight into electricity - and how it can be integrated into buildings, cities, and power grids. Recent work combines PV potential estimation, energy management, and machine learning tools (such as deep learning and generative AI) to plan and optimize solar deployment, building energy use, and decarbonization strategies at urban and global scales. This research area sits within engineering, covering energy systems, sustainability, and applied computational methods.

Publication output has grown over the last decade, rising from around 30-60 papers per year in the late 2010s to a steady range of roughly 60-80 papers annually in recent years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026