Application of neural networks on next-day electricity prices forecasting

• Type: Article in International Conference Proceedings Book
• Date: 2006

Authors

Catalao, JPS (Author) Other; Mariano, SJPS (Author) Other; Mendes, VMF (Author) Other; Ferreira, LAFM (Author) Other

Conference proceedings International

Title: PROCEEDINGS OF THE 41ST INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, VOLS 1 AND 2

Pages: 1072-1076

41st International Universities Power Engineering Conference

Newcastle upon Tyne, ENGLAND, SEP 06-08, 2006-2008

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 9 Citations

Other information

Authenticus ID: P-004-QKB

DOI: 10.1109/upec.2006.367642

Abstract (EN): This paper presents an application for next-day electricity prices forecasting based on neural networks. Good forecasting tools hedging against daily price volatility are becoming increasingly important in nowadays competitive electricity markets.. avowing misjudgement of future price movements and preventing considerable losses for consumers and producers. Next-day electricity price forecast is essential to consumers and to producers in planning the operations of their electric energy resources and for developing negotiation skills in order to achieve better profits. We evaluate the accuracy of the proposed application of neural networks for next-day electricity prices forecasting based on case studies for a real world electricity market and report our experience with this application.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5