Linwei Sang

I'm a researcher in Power Systems and Energy at Tsinghua University currently working on low-carbon energy systems and smart grid optimization. My research focuses on developing novel machine learning and optimization approaches for power system operation and planning, particularly in areas like voltage regulation, unit commitment, and demand response.

I specialize in bridging the gap between machine learning and power systems optimization, developing techniques like conservative sparse neural networks, privacy-preserving frameworks, and decision-focused learning approaches. My work aims to make power systems more efficient, reliable and environmentally sustainable through advanced computational methods.

Recently, I've been focused on carbon emission modeling and reduction in power systems, including developing frameworks for distribution locational marginal emissions and carbon-aware energy management. I collaborate extensively with researchers in both academia and industry to translate theoretical advances into practical solutions for the power industry's decarbonization challenges.