By Topic

Electricity Demand Forecasting Based on Threepoint Gaussian Quadrature and Its Application in Smart Grid

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

3 Author(s)
Xiao-jia Wang ; Sch. of Math., Hefei Univ. of Technol., Hefei, China ; Hai-jiang Wang ; Li-qiang Hou

The construction of Smart Grid will comprehensively enhance the intelligent level of every step in the power grid of our country. The data forecasting ability determines the quality of smart grid. As a result of this, this paper constructs the background value of grey GM (1, 1) model by using threepoint Gaussian quadrature formula, improves its accuracy and the data quality. It indicates that reconstruction of the background value is the key factor affecting prediction accuracy and applicability.

Published in:

2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM)

Date of Conference:

23-25 Sept. 2010