Forecasting electricity generation from renewable sources during a pandemic
Abstract Renewable sources are responsible for more than half of Brazilian electric generation, which basically correspond to hydropower, biomass and wind sources. This research aimed to verify if the Autoregressive Integrated Moving Average (ARIMA) models present good performance in predicting elec...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | Portuguese |
| Published: |
Universidade Federal de São Carlos
2022-03-01
|
| Series: | Gestão & Produção |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2022000100206&tlng=en |