@inproceedings{scholars4958,
            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},
             doi = {10.1109/ICIAS.2014.6869518},
       publisher = {IEEE Computer Society},
         address = {Kuala Lumpur},
           title = {Intelligent demand side management technique for industrial consumer},
            year = {2014},
         journal = {2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings},
            isbn = {9781479946549},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335956&doi=10.1109\%2fICIAS.2014.6869518&partnerID=40&md5=ea09e4b3fd462025a779e6656b2d7bbf},
        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. {\^A}{\copyright} 2014 IEEE.},
        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},
          author = {Hamid, E. and Nallagownden, P. and Nor, N. B. M. and Muthuvalu, M. A. L.}
}