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Application of artificial neural networks to historical data analysis for short-term electric load forecasting

โœ Scribed by M. Caciotta; R. Lamedica; V. Orsolini Cencelli; A. Prudenzi; M. Sforna


Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
859 KB
Volume
7
Category
Article
ISSN
1430-144X

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Short-term electric load forecasting usi
โœ Subhes C. Bhattacharyya; Le Tien Thanh ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 131 KB ๐Ÿ‘ 1 views

Short-term electric load forecasting is an important requirement for electric system operation. This paper employs a feed-forward neural network with a back-propagation algorithm for three types of short-term electric load forecasting: daily peak (valley) load, hourly load and the total load. The fo