Forecasting energy time series with profile neural networks.
Benedikt HeidrichMarian TurowskiNicole LudwigRalf MikutVeit HagenmeyerPublished in: e-Energy (2020)
Keyphrases
- neural network
- forecasting accuracy
- chaotic time series
- mackey glass
- neural network model
- weather forecasting
- financial time series
- short term prediction
- bp neural network
- electricity consumption
- forecast models
- phase space reconstruction
- function approximation
- short term
- arma model
- exponential smoothing
- artificial neural networks
- recurrent neural networks
- box jenkins
- pattern recognition
- prediction model
- back propagation
- energy consumption
- support vector regression
- non stationary
- genetic algorithm
- demand forecasting
- arima model
- hybrid model
- radial basis function
- backpropagation neural networks
- forecasting model
- long term
- exchange rate
- energy saving
- garch model
- feed forward neural networks
- multilayer perceptron
- stock price
- autoregressive integrated moving average
- learning algorithm
- fault diagnosis
- self organizing maps
- energy minimization
- medium term
- dynamic time warping
- autoregressive
- load forecasting
- rbf network
- predictive model
- multivariate time series
- financial data
- phase space
- financial forecasting
- moving average