Combination of Manifold Learning and Deep Learning Algorithms for Mid-Term Electrical Load Forecasting.
Jinghua LiShanyang WeiWei DaiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2023)
Keyphrases
- manifold learning
- load forecasting
- subspace learning
- mid term
- learning algorithm
- short term load forecasting
- short term
- low dimensional
- dimensionality reduction
- power system
- semi supervised
- dimension reduction
- high dimensional
- electric power
- feature extraction
- rbf neural network
- high dimensional data
- machine learning
- training data
- bp neural network
- sparse representation
- long term
- active learning
- back propagation
- support vector regression
- computational intelligence
- neural network model
- reinforcement learning
- control group
- supervised learning
- least squares
- support vector