ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting.
Slawek SmylGrzegorz DudekPawel PelkaPublished in: CoRR (2021)
Keyphrases
- short term load forecasting
- neural network
- exponential smoothing
- recurrent neural network model
- prediction model
- load forecasting
- moving average
- power system
- air fuel ratio
- rbf neural network
- demand forecasting
- artificial neural networks
- bp neural network
- radial basis function
- back propagation
- feed forward neural networks
- electric power
- short term
- fault diagnosis
- long term
- training algorithm
- multilayer perceptron
- model selection