Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/16312
Author(s): | Teodoro, M. F. Andrade, M. Silva, E. C. Borges, A. Covas, R. |
Date: | 2018 |
Title: | Energy prices forecasting using GLM |
ISSN: | 1431-1968 |
ISBN: | 978-3-319-76605-8 |
Abstract: | The work described in this article results from a problem proposed by the company EDP - Energy Solutions Operator, in the framework of ESGI 119th, European Study Group with Industry, during July 2016. Markets for electricity have two characteristics: the energy is mainly no-storable and volatile prices at exchanges are issues to take into consideration. These two features, between others, contribute significantly to the risk of a planning process. The aim of the problem is the short term forecast of hourly energy prices. In present work, GLM is considered a useful technique to obtain a predictive model where its predictive power is discussed. The results show that in the GLM framework the season of the year, month or winter/ summer period revealed significant explanatory variables in the different estimated models. The in-sample forecast is promising, conducting to adequate measures of performance. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | BRU-CLI - Capítulos de livros internacionais |
Files in This Item:
File | Description | Size | Format | |
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Paper_FilomenaTeodoro_Marina_Andrade.pdf | Pós-print | 919,44 kB | Adobe PDF | View/Open |
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