Correlated Time-Series in Multi-Day-Ahead Streamflow Forecasting Using Convolutional Networks.
Felipe O. BarinoVinicius Nunes Henrique SilvaAndrés P. López-BarberoLeonardo de Mello HonórioAlexandre Bessa dos SantosPublished in: IEEE Access (2020)
Keyphrases
- short term
- echo state networks
- weather forecasting
- financial time series
- forecasting accuracy
- long term
- chaotic time series
- stock market
- complex networks
- stock price
- exchange rate
- non stationary
- medium term
- social networks
- demand forecasting
- network structure
- recurrent neural networks
- garch model
- wind power
- moving average
- wind speed
- stochastic programming
- forecasting model
- multivariate time series
- arima model
- temporal patterns
- dynamic time warping
- arma model
- chronic hepatitis