An Ensemble Learning Approach for Short-Term Load Forecasting of Grid-Connected Multi-energy Microgrid.
Mao TanJicheng JinYongxin SuPublished in: SSCI (2019)
Keyphrases
- ensemble learning
- short term load forecasting
- generalization ability
- load forecasting
- ensemble methods
- random forest
- power system
- concept drift
- base classifiers
- rbf neural network
- artificial intelligence
- feature selection
- neural network
- unlabeled data
- support vector machine svm
- data sets
- classification accuracy
- training data
- electric power