Improving load forecasting based on deep learning and K-shape clustering.
Fateme FahimanSarah M. ErfaniSutharshan RajasegararMarimuthu PalaniswamiChristopher LeckiePublished in: IJCNN (2017)
Keyphrases
- deep learning
- load forecasting
- unsupervised learning
- short term load forecasting
- short term
- power system
- k means
- clustering method
- clustering algorithm
- electric power
- long term
- rbf neural network
- bp neural network
- feature selection
- mental models
- semi supervised
- image features
- data points
- text classification
- supervised learning
- support vector regression
- pairwise
- object recognition
- decision making
- machine learning