Prediction of Photovoltaic Time Series by Recurrent Neural Networks and Genetic Embedding.
Antonello RosatoRodolfo AraneoMassimo PanellaPublished in: CEC (2020)
Keyphrases
- recurrent neural networks
- chaotic time series
- neural network
- feed forward
- echo state networks
- complex valued
- feedforward neural networks
- artificial neural networks
- recurrent networks
- cascade correlation
- prediction accuracy
- nonlinear dynamic systems
- genetic algorithm
- reservoir computing
- neural model
- phase space
- moving average
- financial time series
- short term
- box jenkins
- fuzzy model
- extreme values
- real time
- exponential smoothing
- rbf network
- small scale