✦ LIBER ✦

Neural network based short term load forecasting

✍ Scribed by Lu, C.-N.; Wu, H.-T.; Vemuri, S.

Book ID: 115541638
Publisher: IEEE
Year: 1993
Tongue: English
Weight: 569 KB
Volume: 8
Category: Article
ISSN: 0885-8950
DOI: 10.1109/59.221223

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✦ Synopsis

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 methodology f o r p r a c t i c a l considerations o f STLF problems. This paper makes an attenpt t o address these issues. The paper presents the r e s u l t s o f a study t o investigate whether the ANN model i s system dependent, and/or case dependent. Data from two u t i l i t i e s were used i n modeling and forecasting. I n addition, the effectiveness o f a next 24 hour ANN model i n p r e d i c t i n g 24 hour load p r o f i l e a t one time was compared with the t r a d i t i o n a l next one hour ANN model.

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