Environmental Regulation, Smart Meter Adoption, and Carbon Emission: An Interpretable Machine Learning Approach.
Yue GaoChunjie ZhaoJing ZhangPublished in: DG.O (2023)
Keyphrases
- machine learning
- greenhouse gas emissions
- energy consumption
- pattern recognition
- data mining
- machine learning methods
- active learning
- information systems
- decision trees
- computer vision
- explanation based learning
- natural resources
- theoretical underpinnings
- learning tasks
- learning algorithm
- natural language processing
- energy saving
- information extraction
- learning systems
- model selection
- knowledge discovery
- wireless sensor networks
- information technology
- computer science
- neural network
- carbon dioxide
- machine learning approaches
- computational biology
- inductive logic programming
- statistical methods
- transfer learning
- e government
- computational intelligence
- data analysis
- reinforcement learning
- feature selection