Title :
Short term load forecasting for a micro region using NNs and regression models
Author :
Kaysal, Kubra ; Hocaoglu, Fatih Onur ; Oguz, Yasin ; Kaysal, Ahmet
Author_Institution :
Dept. of Electr. & Electron. Eng., Afyon Kocatepe Univ., Afyonkarahisar, Turkey
Abstract :
Thanks to today´s advancing technology, some techniques have been developed to make future oriented forecast on energy generation, transmission and distribution subjects. In literature, load forecasting studies are generally realized for macro size settlement units. However, determination of parameters that effect load forecasting in macro size settlement units is very difficult. In this study, by considering a micro size settlement unit (Güney district of Denizli province), factors that may affect the load demand were examined. Then, by selecting popular methods used in the literature, load forecasting for the region was realized. Finally the results obtained from the models were compared.
Keywords :
load forecasting; regression analysis; Denizli province; Güney district; NN; distribution subjects; energy generation; micro region; regression models; short term load forecasting; transmission subjects; Artificial neural networks; Forecasting; Load forecasting; Load modeling; Reliability; Sociology; Temperature distribution;
Conference_Titel :
Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on
Conference_Location :
Bursa
Print_ISBN :
978-605-01-0504-9
DOI :
10.1109/ELECO.2013.6713827