By Topic

Elasticity coefficient of climatic conditions for electricity consumption analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yusri S. Akil ; Department of Frontier Technology for Energy and Devices, Kumamoto University, 860-8555 JAPAN ; Hajime Miyauchi

The aim of this work is to analyze factors influencing electricity consumption in Japan using regression analysis. Every season regression models are developed for forecasting and determining elasticity coefficient associated with climatic conditions. As explanation variables, we use temperature, relative humidity and other factors such us holidays. Then, several statistical tests, for instance, t-test, adjusted coefficient R2 and Durbin-Watson statistic test, are used to validate the models. As an error analysis, MAPE is used to evaluate the forecasting performance. The results indicate that almost all explanation variables of the 4 seasonal models with different time period have significant influence. The models with autoregressive concerning the error term give better forecasting than without autoregressive term. Moreover, 2 scenarios are tested for each season to observe further the effect of changing climatic conditions to the electricity demand.

Published in:

Power System Technology (POWERCON), 2010 International Conference on

Date of Conference:

24-28 Oct. 2010