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Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China

Jian Yu, Xuanye Cai, Xinliang Ji, Longyue Liang, Jingzi Yang

2025Energy12 citationsDOI

Topics & Concepts

ChinaEnergy (signal processing)Artificial intelligenceMachine learningPolitical scienceComputer scienceEngineeringPhysicsLawQuantum mechanicsEnergy, Environment, and Transportation PoliciesEnergy, Environment, Economic GrowthEnergy Load and Power Forecasting
Promoting urban energy transitions: Lessons from interpretable machine learning with evidence from China | Litcius