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                                       Details for article 133 of 197 found articles
 
 
  Middle Anatolian Region Short-Term Load Forecasting Using Artificial Neural Networks
 
 
Title: Middle Anatolian Region Short-Term Load Forecasting Using Artificial Neural Networks
Author: Demiroren, A.
Ceylan, G.
Appeared in: Electric power components & systems
Paging: Volume 34 (2006) nr. 6 pages 707-724
Year: 2006-06-01
Contents: In recent years, several studies of short-term load forecasting using different of artificial neural network structures have been reported. In this paper, an application of short-term load forecasting is investigated by multilayer perceptron structure. Actual load and temperature data of the Middle Anatolian Region in the years 2002 and 2003 are used for this investigation. In this study, maximum temperature, minimum temperature, and day type factors are used to construct the forecasting model. Also, load forecasting for the same region is obtained by the regression method to compare the effectiveness of the artificial neural network method.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 133 of 197 found articles
 
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