Short-term load forecasting based on CEEMDAN and dendritic deep learning.
Keyu SongYang YuTengfei ZhangXiaosi LiZhenyu LeiHoutian HeYizheng WangShangce GaoPublished in: Knowl. Based Syst. (2024)
Keyphrases
- deep learning
- short term load forecasting
- load forecasting
- unsupervised learning
- machine learning
- power system
- unsupervised feature learning
- rbf neural network
- weakly supervised
- neural network
- mental models
- short term
- support vector regression
- electric power
- artificial neural networks
- higher order
- probabilistic model
- image segmentation
- image processing
- data sets