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
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;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130026
