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

fYear

2014

fDate

3-5 June 2014

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4799-4654-9

Type

conf

DOI

10.1109/ICIAS.2014.6869518

Filename

6869518