A hybrid model for deep learning short-term power load forecasting based on feature extraction statistics techniques.
Guo-Feng FanYing-Ying HanJin-Wei LiLi-Ling PengYi-Hsuan YehWei-Chiang HongPublished in: Expert Syst. Appl. (2024)
Keyphrases
- short term
- hybrid model
- deep learning
- feature extraction
- long term
- support vector machine svm
- arima model
- unsupervised learning
- artificial neural networks
- machine learning
- unsupervised feature learning
- hybrid models
- support vector regression
- back propagation neural network
- short term and long term
- short and long term
- principal component analysis
- long term memory
- load forecasting
- mental models
- neural network
- image processing
- weakly supervised
- dimensionality reduction
- pattern recognition
- feature space
- forecasting model
- feature selection
- object recognition
- feature vectors
- feature set
- support vector machine
- computer vision
- knn
- active learning