Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector
Forecasting the industry’s electricity consumption is essential for energy planning in a given country or region. Thus, this study aims to apply time-series forecasting models (statistical approach and artificial neural network approach) to the industrial electricity consumption in the Brazilian sys...
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| Formato: | Artículo |
| Lenguaje: | inglés |
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2022
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| author | Leite Coelho da Silva, Felipe da Costa, Kleyton Canas Rodrigues, Paulo Salas, Rodrigo López Gonzales, Javier Linkolk |
| author_browse | Canas Rodrigues, Paulo Leite Coelho da Silva, Felipe López Gonzales, Javier Linkolk Salas, Rodrigo da Costa, Kleyton |
| author_facet | Leite Coelho da Silva, Felipe da Costa, Kleyton Canas Rodrigues, Paulo Salas, Rodrigo López Gonzales, Javier Linkolk |
| author_sort | Leite Coelho da Silva, Felipe |
| collection | Producción científica |
| description | Forecasting the industry’s electricity consumption is essential for energy planning in a given country or region. Thus, this study aims to apply time-series forecasting models (statistical approach and artificial neural network approach) to the industrial electricity consumption in the Brazilian system. For the statistical approach, the Holt–Winters, SARIMA, Dynamic Linear Model, and TBATS (Trigonometric Box–Cox transform, ARMA errors, Trend, and Seasonal components) models were considered. For the approach of artificial neural networks, the NNAR (neural network autoregression) and MLP (multilayer perceptron) models were considered. The results indicate that the MLP model was the one that obtained the best forecasting performance for the electricity consumption of the Brazilian industry under analysis. |
| format | Article |
| id | oai:cris.upeu.edu.pe:20.500.15037/1336 |
| institution | UPeU |
| language | English |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
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| spelling | oai:cris.upeu.edu.pe:20.500.15037/13362026-10-30T16:15:36ZStatistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial SectorLeite Coelho da Silva, Felipeda Costa, KleytonCanas Rodrigues, PauloSalas, RodrigoLópez Gonzales, Javier Linkolkenergy planningforecastingindustrial electricity consumptionartificial neural networksForecasting the industry’s electricity consumption is essential for energy planning in a given country or region. Thus, this study aims to apply time-series forecasting models (statistical approach and artificial neural network approach) to the industrial electricity consumption in the Brazilian system. For the statistical approach, the Holt–Winters, SARIMA, Dynamic Linear Model, and TBATS (Trigonometric Box–Cox transform, ARMA errors, Trend, and Seasonal components) models were considered. For the approach of artificial neural networks, the NNAR (neural network autoregression) and MLP (multilayer perceptron) models were considered. The results indicate that the MLP model was the one that obtained the best forecasting performance for the electricity consumption of the Brazilian industry under analysis.Articlehttps://www.mdpi.com/1996-1073/15/2/588/pdf?version=1642158663https://doi.org/10.3390/en1502058810.3390/en15020588https://hdl.handle.net/20.500.15037/1336W4206025198enEnergies1996-10732022-01-142026-06-13T09:53:45Z2026-06-13T09:53:45Z |
| spellingShingle | energy planning forecasting industrial electricity consumption artificial neural networks Leite Coelho da Silva, Felipe da Costa, Kleyton Canas Rodrigues, Paulo Salas, Rodrigo López Gonzales, Javier Linkolk Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector |
| title | Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector |
| title_full | Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector |
| title_fullStr | Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector |
| title_full_unstemmed | Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector |
| title_short | Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector |
| title_sort | statistical and artificial neural networks models for electricity consumption forecasting in the brazilian industrial sector |
| topic | energy planning forecasting industrial electricity consumption artificial neural networks |
| topic_facet | energy planning forecasting industrial electricity consumption artificial neural networks |
| url | https://www.mdpi.com/1996-1073/15/2/588/pdf?version=1642158663 https://doi.org/10.3390/en15020588 https://hdl.handle.net/20.500.15037/1336 |
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