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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Elsevier Ltd
2014
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my.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/ |
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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_facet |
Shaikh, P.H. Nor, N.B.M. Nallagownden, P. Elamvazuthi, I. |
| 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/ |
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