DocumentCode
2469805
Title
Chopping off peak demand using DLS technique — Formulating an intelligent technique for load identification
Author
Sil, Arindam Kumar ; Deb, N.K. ; Maitra, Ashok Kumar ; Sen, Poly Sil
Author_Institution
Dept of Electr. Eng., Jadavpur Univ. Kolkata, Kolkata, India
fYear
2010
fDate
14-17 March 2010
Firstpage
909
Lastpage
913
Abstract
This paper identifies electrical load which are brought under DLS technique in order to use effectively for judicious scheduling of loads for chopping off peak load demand. In general an analysis is made on loads, their type, and to suggest how to schedule these loads for an entire day and thereby chopping the peak load demand. The present paper approaches for a problem formulation which helps in timely decision making for those who will be using this technique for chopping peak load demand. This paper analyses on different loads and thereafter gives a decision for those loads that are to be included for DLS technique application and hence reduce the peak demand on a very short span of time. The entire decision making technique is governed by Artificial Intelligent method. This method helps in reduction of peak demand.
Keywords
artificial intelligence; power consumption; power engineering computing; scheduling; DLS technique; artificial intelligent method; day light saving technique; decision making technique; intelligent technique; load identification scheduling; peak load demand chopping; Artificial intelligence; Bayesian methods; Clocks; Decision making; Fuzzy logic; Job shop scheduling; Springs; Sun; DLS technique; Energy planning; Fuzzy logic; Peak load; Problem formulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology (ICIT), 2010 IEEE International Conference on
Conference_Location
Vi a del Mar
Print_ISBN
978-1-4244-5695-6
Electronic_ISBN
978-1-4244-5696-3
Type
conf
DOI
10.1109/ICIT.2010.5472569
Filename
5472569
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