By Topic

Electric energy demand analysis using fuzzy decision making system

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
$31 $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

4 Author(s)
de Lima, A.C. ; Sch. of Electr. Eng., UFU, Uberlandia, Brazil ; Guimaraes, S.C., Jr. ; Camacho, J.R. ; Bispo, D.

To obtain energy services, the integrated planning resources (IPR) work with an analysis that contemplates rationalization; independent production and environmental factors related to the energy supply systems. With this on mind for a consumer unity billed by means of a binomial tariff, the fuzzy decision making system for demand analysis (FDMSDA) can be considered as a tool to determine a new functioning condition, contemplating the energy average price supplied by own generation or local utility to the technology of load shaving due to the "conventional" and "blue and green hour-seasonal" Brazilian tariff structure.

Published in:

Electrotechnical Conference, 2004. MELECON 2004. Proceedings of the 12th IEEE Mediterranean  (Volume:2 )

Date of Conference:

12-15 May 2004