Performance evaluation of forecasting models based on time series and machine learning techniques : an application to light fuel consumption in Brazil
Lucas Rodrigues, Luciano Rodrigues and Mirian Rumenos Piedade Bacchi
| Year of publication: |
2022
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|---|---|
| Authors: | Rodrigues, Lucas ; Rodrigues, Luciano ; Bacchi, Mirian Rumenos Piedade |
| Published in: |
International journal of energy sector management. - Bradford : Emerald, ISSN 1750-6239, ZDB-ID 2280261-7. - Vol. 16.2022, 4, p. 636-658
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| Subject: | Autoregressive | Biofuels | Co-integration | Demand forecasting | Demand-side management | Econometric | Forecast evaluation | Forecasting | Forecasting methods | Fuel demand | Fuzzy-logic model | Gasoline | Liquid fuels | Machine learning | Neural networks | Time series | Time series analysis | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Künstliche Intelligenz | Artificial intelligence | Energieprognose | Energy forecast | Neuronale Netze | Nachfrage | Demand | Brasilien | Brazil | Prognose | Forecast | Kraftstoff | Motor fuel | Biokraftstoff | Biofuel | Benzin | Theorie | Theory |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1108/IJESM-02-2021-0009 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013345694