Electric demand forecasting with neural networks and symbolic time series representations.
David Criado-RamónLuis G. Baca RuízManuel P. CuéllarPublished in: Appl. Soft Comput. (2022)
Keyphrases
- demand forecasting
- symbolic representation
- neural network
- forecasting accuracy
- exponential smoothing
- neural network model
- symbolic knowledge
- bp neural network
- historical data
- pattern recognition
- artificial neural networks
- back propagation
- hybrid model
- connectionist systems
- forecasting model
- supply chain
- support vector regression
- multilayer perceptron
- water resources
- genetic algorithm
- rbf neural network
- k nearest neighbor
- databases
- training process
- bp algorithm