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
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;
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
DOI :
10.1109/ICIT.2010.5472569