DocumentCode
3249570
Title
The impact of climate change on New Zealand´s electricity demand
Author
Chen, Gerk ; Lie, Tek
Author_Institution
Dept. of Electr. & Electron. Eng., Auckland Univ. of Technol., Auckland, New Zealand
fYear
2010
fDate
14-17 June 2010
Firstpage
808
Lastpage
813
Abstract
The paper proposed to use artificial neural networks (ANNs) to forecast electricity demand and to build the climate sensitive model. Digital simulation studies were conducted on the New Zealand electricity demand with temperature variations. The simulation study results have shown that the changes in temperature have a big impact on the expected total demand of electricity. As a result, it can be used as a guidance to predict the effects on electricity demand when temperature changes.
Keywords
demand forecasting; environmental factors; load forecasting; neural nets; power system analysis computing; ANN; New Zealand; artificial neural network; climate change; electricity demand forecasting; electricity demand prediction; temperature variations; Base stations; Data mining; Digital simulation; Economic forecasting; Global warming; Humans; Load modeling; Paper technology; Predictive models; Temperature sensors; ANN; Forecast; load demand; temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5720-5
Type
conf
DOI
10.1109/PMAPS.2010.5528429
Filename
5528429
Link To Document