TY  - JOUR
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904343996&doi=10.1016%2fj.scs.2014.04.005&partnerID=40&md5=6d3a0bf884ce9a263920a237f9f79f05
AV  - none
N2  - 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.
PB  - Elsevier Ltd
JF  - Sustainable Cities and Society
VL  - 13
N1  - cited By 21
SP  - 41
ID  - scholars5130
TI  - Stochastic optimized intelligent controller for smart energy efficient buildings
SN  - 22106707
Y1  - 2014///
EP  - 45
A1  - Shaikh, P.H.
A1  - Nor, N.B.M.
A1  - Nallagownden, P.
A1  - Elamvazuthi, I.
ER  -