Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series.
Federico SuccettiAntonello RosatoRodolfo AraneoMassimo PanellaPublished in: IEEE Access (2020)
Keyphrases
- neural network
- short term prediction
- chaotic time series
- multivariate time series
- prediction model
- prediction accuracy
- financial time series
- mackey glass
- short term
- maximum power point tracking
- moving average
- neural network ensemble
- artificial neural networks to predict
- load forecasting
- back propagation
- extreme values
- exponential smoothing
- neural networks and support vector machines
- bp neural network
- power consumption
- solar energy
- box jenkins
- pattern recognition
- artificial neural networks
- recurrent neural networks
- neural network model
- regression model
- multi layer perceptron
- multivariate time series data
- forecasting accuracy
- fault diagnosis
- power generation
- multivariate data
- prediction algorithm
- dynamic time warping
- temporal patterns
- radial basis function network
- sequential data
- prediction error
- neural nets
- multilayer perceptron
- genetic algorithm