Title :
Intelligent demand side management technique for industrial consumer
Author :
Hamid, Elnazeer ; Nallagownden, Perumal ; Mohd Nor, Nursyarizal B. ; Muthuvalu, Mohana A. L.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
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.
Keywords :
buildings (structures); decision making; demand side management; energy conservation; fuzzy reasoning; fuzzy systems; energy efficiency; energy saving; fuzzy multicriterion decision making system; industrial building; industrial consumer; intelligent demand side management; supply-demand gap; Artificial neural networks; Buildings; Energy consumption; Fuzzy logic; Load management; Load modeling; DSM Techniques; Demand Side Management (DSM); Fuzzy Inference System (FIS); Peak Clipping;
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-4654-9
DOI :
10.1109/ICIAS.2014.6869518
