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Influence of artificial neural network structure on quality of short-term electric energy consumption forecast

✍ Scribed by Baczynski, D.; Parol, M.


Book ID
114453327
Publisher
The Institution of Electrical Engineers
Year
2004
Tongue
English
Weight
289 KB
Volume
151
Category
Article
ISSN
1350-2360

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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