eprintid: 4958
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/49/58
datestamp: 2023-11-09 16:16:40
lastmod: 2023-11-09 16:16:40
status_changed: 2023-11-09 16:00:02
type: conference_item
metadata_visibility: show
creators_name: Hamid, E.
creators_name: Nallagownden, P.
creators_name: Nor, N.B.M.
creators_name: Muthuvalu, M.A.L.
title: Intelligent demand side management technique for industrial consumer
ispublished: pub
keywords: Energy utilization; Intelligent systems; Office buildings, Decision-making systems; Demand side managements; DSM Techniques; Electrical demand; Fuzzy inference systems; Industrial buildings; Industrial consumers; Peak Clipping, Industrial management
note: cited By 11; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042
abstract: Electrical demand is continuously increasing due to technologies, and hence the supply-demand gap is also increasing. Under such circumstances, Demand Side management is applied to manage the load demand and minimize the energy consumption. The objective of this paper proposes a fuzzy multi criterion decision-making system as an intelligent system for demand side management technique for efficient energy and energy saving in industrial building. © 2014 IEEE.
date: 2014
publisher: IEEE Computer Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335956&doi=10.1109%2fICIAS.2014.6869518&partnerID=40&md5=ea09e4b3fd462025a779e6656b2d7bbf
id_number: 10.1109/ICIAS.2014.6869518
full_text_status: none
publication: 2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings
place_of_pub: Kuala Lumpur
refereed: TRUE
isbn: 9781479946549
citation:   Hamid, E. and Nallagownden, P. and Nor, N.B.M. and Muthuvalu, M.A.L.  (2014) Intelligent demand side management technique for industrial consumer.  In: UNSPECIFIED.