Input space to neural network based load forecasters
β Scribed by Alexandre P. Alves da Silva; Vitor H. Ferreira; Roberto M.G. Velasquez
- Book ID
- 113648002
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 375 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0169-2070
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The a r t i f i c i a l neural network (ANN) technique f o r short term load forecasting (STLF) has been proposed by several authors, and gained a l o t o f a t t e n t i o n recently. I n order t o evaluate ANN as a v i a b l e technique f o r STLF, one has t o evaluate the performance of ANN meth
An artificial neural network (ANN) model for short-term load forecasting (STLF) is presented. The proposed model is capable of forecasting the next 24-hour load profile at one time, as opposed to the usual 'next one hour' ANN models. The inputs to the ANN are load profiles of the two previous days a