Learning Vector Quantization based predictor model selection for hourly load demand forecasting.
Emre AkarslanPublished in: Appl. Soft Comput. (2022)
Keyphrases
- model selection
- learning vector quantization
- demand forecasting
- load forecasting
- forecasting accuracy
- neural network
- short term
- cross validation
- bp neural network
- power system
- support vector regression
- regression model
- historical data
- self organizing maps
- electric power
- hyperparameters
- parameter estimation
- long term
- supply chain
- rbf neural network
- feature selection
- selection criterion
- sample size
- variable selection
- back propagation
- machine learning
- model selection criteria
- forecasting model
- artificial neural networks
- information criterion
- hybrid model
- prediction model
- water resources
- unsupervised learning
- active learning
- pattern recognition
- reinforcement learning
- data mining