Short-Term Energy Forecasting Using Machine-Learning-Based Ensemble Voting Regression.
Pyae Pyae PhyoYung-Cheol ByunNamje ParkPublished in: Symmetry (2022)
Keyphrases
- short term
- machine learning
- long term
- regression problems
- power generation
- voting schemes
- forecasting model
- feature selection
- weighted voting
- learning algorithm
- short term and long term
- electric load forecasting
- majority voting
- model selection
- medium term
- long term memory
- machine learning methods
- ensemble learning
- regression model
- load forecasting
- neural network
- arima model
- ensemble methods
- stock market
- short and long term
- support vector regression
- support vector machine
- motion prediction
- linear regression
- wind speed
- training set
- training data
- cross validation
- base classifiers
- wind power
- feature space