Forecast of the volume of sales index in the Brazilian petroleum sector using artificial neural networks
This paper deals with the application of neural networks in predicting the fuel sales index. Neural networks, through their learning ability, can understand the variability of parameters and from this, infer about their future behavior. Most of the sales forecasts made by ANP (National Agency of Pet...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Institute of Technology and Education Galileo da Amazônia
2018-06-01
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| Series: | ITEGAM-JETIA |
| Subjects: | |
| Online Access: | https://itegam-jetia.org/journal/index.php/jetia/article/view/26 |
| _version_ | 1818524526694105088 |
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| author | Lucas Lira Souza Shauane Santos Silva Vivianni Marques Leite dos Santos |
| author_facet | Lucas Lira Souza Shauane Santos Silva Vivianni Marques Leite dos Santos |
| author_sort | Lucas Lira Souza |
| collection | DOAJ |
| description | This paper deals with the application of neural networks in predicting the fuel sales index. Neural networks, through their learning ability, can understand the variability of parameters and from this, infer about their future behavior. Most of the sales forecasts made by ANP (National Agency of Petroleum, Natural Gas and Biofuels) are based on fuel consumption, where in this work this index was disregarded and other indicators that were considered relevant in the prediction process were used. The best network consists of a multilayered perceptron, trained with the backpropagation algorithm, consisting of five neurons in the input and intermediate layers and with only one output node. This presents a relative mean square error of 27% for the expected sales figures. The results generated were satisfactory for the chosen variables. |
| first_indexed | 2024-12-11T05:58:13Z |
| format | Article |
| id | doaj.art-58e80918af48422fb5aeb5d2d136f666 |
| institution | Directory Open Access Journal |
| issn | 2447-0228 |
| language | English |
| last_indexed | 2024-12-11T05:58:13Z |
| publishDate | 2018-06-01 |
| publisher | Institute of Technology and Education Galileo da Amazônia |
| record_format | Article |
| series | ITEGAM-JETIA |
| spelling | doaj.art-58e80918af48422fb5aeb5d2d136f6662022-12-22T01:18:36ZengInstitute of Technology and Education Galileo da AmazôniaITEGAM-JETIA2447-02282018-06-0141410.5935/2447-0228.201826Forecast of the volume of sales index in the Brazilian petroleum sector using artificial neural networksLucas Lira SouzaShauane Santos SilvaVivianni Marques Leite dos SantosThis paper deals with the application of neural networks in predicting the fuel sales index. Neural networks, through their learning ability, can understand the variability of parameters and from this, infer about their future behavior. Most of the sales forecasts made by ANP (National Agency of Petroleum, Natural Gas and Biofuels) are based on fuel consumption, where in this work this index was disregarded and other indicators that were considered relevant in the prediction process were used. The best network consists of a multilayered perceptron, trained with the backpropagation algorithm, consisting of five neurons in the input and intermediate layers and with only one output node. This presents a relative mean square error of 27% for the expected sales figures. The results generated were satisfactory for the chosen variables.https://itegam-jetia.org/journal/index.php/jetia/article/view/26Artificial neural networkspredictionsale of fuel |
| spellingShingle | Lucas Lira Souza Shauane Santos Silva Vivianni Marques Leite dos Santos Forecast of the volume of sales index in the Brazilian petroleum sector using artificial neural networks ITEGAM-JETIA Artificial neural networks prediction sale of fuel |
| title | Forecast of the volume of sales index in the Brazilian petroleum sector using artificial neural networks |
| title_full | Forecast of the volume of sales index in the Brazilian petroleum sector using artificial neural networks |
| title_fullStr | Forecast of the volume of sales index in the Brazilian petroleum sector using artificial neural networks |
| title_full_unstemmed | Forecast of the volume of sales index in the Brazilian petroleum sector using artificial neural networks |
| title_short | Forecast of the volume of sales index in the Brazilian petroleum sector using artificial neural networks |
| title_sort | forecast of the volume of sales index in the brazilian petroleum sector using artificial neural networks |
| topic | Artificial neural networks prediction sale of fuel |
| url | https://itegam-jetia.org/journal/index.php/jetia/article/view/26 |
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