Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study.
Dongxiao NiuKeke WangLijie SunJing WuXiaomin XuPublished in: Appl. Soft Comput. (2020)
Keyphrases
- short term
- power generation
- random forest
- feature set
- feature selection
- long term
- wind power
- load forecasting
- text categorization
- multi label
- decision trees
- forecasting model
- stock market
- medium term
- feature extraction
- feature space
- classification accuracy
- feature subset
- multi class
- ensemble methods
- text classification
- machine learning
- wind speed
- arima model
- support vector machine
- base classifiers
- power plant
- neural network
- support vector
- expert systems
- feature vectors
- power system
- k nearest neighbor
- model selection