Referenced Items are not available for this document.
This paper describes a short time electrical energy demand forecast system using two different techniques of artificial intelligence: recurrent artificial neural networks and support vector regression. A brief analysis of the demand over the electrical energy network connection points is also done.
Published in:
Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
Date of Conference: 12-14 March 2008
- Page(s):
- 1431 - 1435
- E-ISBN :
- 978-1-4244-1688-2
- Print ISBN:
- 978-1-4244-1687-5
- INSPEC Accession Number:
- 10044784
- Conference Location :
- St Julians
- Digital Object Identifier :
- 10.1109/ISCCSP.2008.4537451
- Product Type:
- Conference Publications
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