A novel MDPSO-SVR hybrid model for feature selection in electricity consumption forecasting.
Xiaoyuan ZhangYanmei HuangChangrui DengYukun BaoPublished in: CoRR (2022)
Keyphrases
- hybrid model
- electricity consumption
- support vector regression
- support vector classification
- feature selection
- support vector
- forecasting accuracy
- support vector machine
- electric power
- support vector machine svm
- back propagation neural network
- hybrid models
- energy consumption
- regression model
- economic development
- kernel function
- energy saving
- forecasting model
- artificial neural networks
- arima model
- machine learning
- high dimensionality
- feature subset
- classification accuracy
- wireless sensor networks
- growth rate
- feature extraction
- feature set
- load forecasting
- data sets
- knn
- text classification
- model selection
- feature vectors
- image processing