Wenjing Lyu

Papers

Total Citations

293

H-Index

About

Wenjing Lyu is a leading researcher at the intersection of artificial intelligence and the energy sector, with a particular focus on how emerging digital technologies can drive sustainable energy transitions. Her most-cited work, "Artificial Intelligence and emerging digital technologies in the energy sector" (2021), has garnered 293 citations, establishing her as a key voice in this rapidly evolving field. Lyu's research systematically maps the application of AI, machine learning, and digital twins to optimize energy systems, from smart grids to renewable energy integration. She has made significant contributions by developing frameworks that bridge technical innovation with policy implementation, helping stakeholders understand both the opportunities and risks of digitalization in energy. Her work is widely recognized for its practical relevance, influencing how utilities and governments approach energy efficiency and decarbonization. Lyu's scholarship is characterized by rigorous analysis and forward-looking insights, making her a sought-after expert for interdisciplinary collaborations. Her research not only advances academic understanding but also provides actionable guidance for real-world energy challenges, cementing her reputation as a pivotal figure in the digital energy revolution.