Ningyi Dai
Papers
1
Total Citations
1,165
H-Index
1
About
Ningyi Dai is a leading researcher at the intersection of artificial intelligence and sustainable energy systems. Her work focuses on leveraging AI to address critical challenges in the energy sector, including grid optimization, renewable energy integration, and energy efficiency. Dai’s most influential contribution is her comprehensive review, "Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities" (2021), which has garnered over 1,165 citations. This seminal paper systematically maps the landscape of AI applications in sustainable energy, identifying key barriers and future pathways—a resource widely cited by both academics and industry practitioners. Beyond this, Dai has advanced machine learning models for energy forecasting and smart grid management, bridging theoretical AI with real-world energy solutions. Her research is recognized for its clarity and practical impact, often serving as a foundational reference for students and engineers entering the field. Through her work, Dai continues to shape how artificial intelligence can accelerate the global transition to sustainable energy systems.
Research Focus
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Top Papers
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