Energy forecasting model based on CNN-LSTM-AE for many time series with unequal lengths.
Rodney RickLilian BertonPublished in: Eng. Appl. Artif. Intell. (2022)
Keyphrases
- weather forecasting
- financial time series
- forecasting accuracy
- forecast models
- exponential smoothing
- electricity consumption
- arma model
- chaotic time series
- box jenkins
- cellular neural networks
- recurrent neural networks
- arima model
- short term
- dynamic time warping
- demand forecasting
- moving average
- forecasting model
- energy consumption
- stock market
- autoregressive
- garch model
- non stationary
- bp neural network
- multivariate time series
- knowledge base
- subsequence matching
- low energy
- long term
- grey model
- data streams
- neural network model
- support vector regression
- hybrid model
- total energy
- exchange rate