TY  - CONF
AV  - none
KW  - Energy utilization; Intelligent systems; Office buildings
KW  -  Decision-making systems; Demand side managements; DSM Techniques; Electrical demand; Fuzzy inference systems; Industrial buildings; Industrial consumers; Peak Clipping
KW  -  Industrial management
ID  - scholars4958
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335956&doi=10.1109%2fICIAS.2014.6869518&partnerID=40&md5=ea09e4b3fd462025a779e6656b2d7bbf
CY  - Kuala Lumpur
PB  - IEEE Computer Society
TI  - Intelligent demand side management technique for industrial consumer
SN  - 9781479946549
N1  - 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
Y1  - 2014///
N2  - 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.
A1  - Hamid, E.
A1  - Nallagownden, P.
A1  - Nor, N.B.M.
A1  - Muthuvalu, M.A.L.
ER  -