Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average

R Luzia, L Rubio, CE Velasquez - Energy, 2023 - Elsevier
Several studies focus on improving forecasting techniques to capture multiple patterns in
time series. The evolution of computing hardware has made possible to solve complex …
被引用次数：36 相关文章

Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average

R Luzia, L Rubio, CE Velasquez - Energy, 2023 - econpapers.repec.org
Several studies focus on improving forecasting techniques to capture multiple patterns in
time series. The evolution of computing hardware has made possible to solve complex …

Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average

R Luzia, L Rubio, CE Velasquez - Energy, 2023 - ui.adsabs.harvard.edu
Several studies focus on improving forecasting techniques to capture multiple patterns in
time series. The evolution of computing hardware has made possible to solve complex …

Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average

R Luzia, L Rubio, CE Velasquez - Energy, 2023 - ideas.repec.org
Several studies focus on improving forecasting techniques to capture multiple patterns in
time series. The evolution of computing hardware has made possible to solve complex …