Short-Term Load Forecasting with LSTM Based Ensemble Learning.
Lingxiao WangShiwen MaoBogdan M. WilamowskiPublished in: iThings/GreenCom/CPSCom/SmartData (2019)
Keyphrases
- ensemble learning
- short term load forecasting
- load forecasting
- power system
- ensemble methods
- generalization ability
- recurrent neural networks
- random forest
- neural network
- feature selection
- concept drift
- machine learning
- prediction accuracy
- feature extraction
- rbf neural network
- feed forward
- non stationary
- artificial neural networks
- data sets