DocumentCode
714472
Title
Investigation of performance effect of input diversity on long term electricity demand forecasting
Author
Altinoz, O. Tolga ; Mengusoglu, Erhan
Author_Institution
Elektrik Elektron. Muhendisligi Bolumu, Ankara Univ., Ankara, Turkey
fYear
2015
fDate
16-19 May 2015
Firstpage
1098
Lastpage
1101
Abstract
The long term electricity demand forecasting is evaluated by using past demand and weather data. The aim of this study is to present the effect of the variety of inputs on performance. Therefore neural network models are evaluated due to their performance and common acceptance. Different varieties of inputs are applied to the model and results are compared with each other.
Keywords
load forecasting; neural nets; power engineering computing; input diversity; long term electricity demand forecasting; neural network models; performance effect; Artificial neural networks; Biological system modeling; Demand forecasting; Load forecasting; electricity demand; long term forecasting; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location
Malatya
Type
conf
DOI
10.1109/SIU.2015.7130026
Filename
7130026
Link To Document