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
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;
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
DOI :
10.1109/PMAPS.2010.5528429
