Ultra-Short-Term Building Cooling Load Prediction Model Based on Feature Set Construction and Ensemble Machine Learning.
Yan DingHao SuXiangfei KongZhenqin ZhangPublished in: IEEE Access (2020)
Keyphrases
- short term
- feature set
- load forecasting
- feature selection
- machine learning
- random forest
- long term
- base classifiers
- motion prediction
- individual features
- feature extraction
- feature space
- feature vectors
- classification accuracy
- chaotic time series
- selected features
- ensemble methods
- prediction accuracy
- short term prediction
- power generation
- neural network
- decision trees
- text classification
- wind speed
- stock market
- short term and long term
- long term memory
- machine learning methods
- feature subset
- power system
- learning algorithm
- forecasting model
- computer vision
- short and long term
- support vector
- pattern recognition
- simulated annealing
- data mining
- medium term
- arima model
- computational intelligence
- electric power
- feature ranking
- prediction model
- bp neural network
- model selection
- back propagation