Stochastic optimized intelligent controller for smart energy efficient buildings

Smart buildings are rising concept for energy resource management in the buildings to reduce energy consumption and wastage. Energy management and control system comprises of variety of technologies, which affect human working comfort. The challenging task of the building control is to achieve inter...

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Main Authors: Shaikh, P.H., Nor, N.B.M., Nallagownden, P., Elamvazuthi, I.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32321 /
Published: Elsevier Ltd 2014
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904343996&doi=10.1016%2fj.scs.2014.04.005&partnerID=40&md5=6d3a0bf884ce9a263920a237f9f79f05
http://eprints.utp.edu.my/32321/
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id utp-eprints.32321
recordtype eprints
spelling utp-eprints.323212022-03-29T05:04:01Z Stochastic optimized intelligent controller for smart energy efficient buildings Shaikh, P.H. Nor, N.B.M. Nallagownden, P. Elamvazuthi, I. Smart buildings are rising concept for energy resource management in the buildings to reduce energy consumption and wastage. Energy management and control system comprises of variety of technologies, which affect human working comfort. The challenging task of the building control is to achieve interior building environment comfort with high-energy efficiency. In this study, multi-agent control system has been developed in combination with stochastic optimization using genetic algorithm (GA). The corresponding simulations of effective management of energy and consumer comfort are presented. The developed control system provides significant improvement in energy consumption and interior environmental comfort in smart buildings. © 2014 Elsevier Ltd. All rights reserved. Elsevier Ltd 2014 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904343996&doi=10.1016%2fj.scs.2014.04.005&partnerID=40&md5=6d3a0bf884ce9a263920a237f9f79f05 Shaikh, P.H. and Nor, N.B.M. and Nallagownden, P. and Elamvazuthi, I. (2014) Stochastic optimized intelligent controller for smart energy efficient buildings. Sustainable Cities and Society, 13 . pp. 41-45. http://eprints.utp.edu.my/32321/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Smart buildings are rising concept for energy resource management in the buildings to reduce energy consumption and wastage. Energy management and control system comprises of variety of technologies, which affect human working comfort. The challenging task of the building control is to achieve interior building environment comfort with high-energy efficiency. In this study, multi-agent control system has been developed in combination with stochastic optimization using genetic algorithm (GA). The corresponding simulations of effective management of energy and consumer comfort are presented. The developed control system provides significant improvement in energy consumption and interior environmental comfort in smart buildings. © 2014 Elsevier Ltd. All rights reserved.
format Article
author Shaikh, P.H.
Nor, N.B.M.
Nallagownden, P.
Elamvazuthi, I.
spellingShingle Shaikh, P.H.
Nor, N.B.M.
Nallagownden, P.
Elamvazuthi, I.
Stochastic optimized intelligent controller for smart energy efficient buildings
author_sort Shaikh, P.H.
title Stochastic optimized intelligent controller for smart energy efficient buildings
title_short Stochastic optimized intelligent controller for smart energy efficient buildings
title_full Stochastic optimized intelligent controller for smart energy efficient buildings
title_fullStr Stochastic optimized intelligent controller for smart energy efficient buildings
title_full_unstemmed Stochastic optimized intelligent controller for smart energy efficient buildings
title_sort stochastic optimized intelligent controller for smart energy efficient buildings
publisher Elsevier Ltd
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904343996&doi=10.1016%2fj.scs.2014.04.005&partnerID=40&md5=6d3a0bf884ce9a263920a237f9f79f05
http://eprints.utp.edu.my/32321/
_version_ 1741197717383675904
score 11.62408

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