Predicting and Applying the Electricity-Related Carbon Emission Coefficient based on Recurrent Neural Network: A Decision-Making Reference for Carbon Emission Policies.
Haoqin ZhangHe LeiHetian ChiChongzhe ZouTao LiuSiwu LiZhiqiang ZhouYunfei ZhengMingqi DongPublished in: PEAI (2024)
Keyphrases
- recurrent neural networks
- greenhouse gas emissions
- decision making
- energy consumption
- carbon dioxide
- complex valued
- neural network
- feed forward
- recurrent networks
- neural model
- decision support system
- data mining
- artificial intelligence
- decision support
- decision makers
- fuzzy logic
- greenhouse gases
- long short term memory
- energy saving
- feedforward neural networks
- training process
- reservoir computing
- machine learning