Multi-objective optimization for decision-making of energy and comfort management in building automation and control

Sustainable Cities and Society

Volumn 2, Issue 1, 2012, Pages 1-7

  Yang, Rui ^a   Wang, Lingfeng ^a  

^a The University of Toledo   (United States)

Author keywords

Building automation and control; Energy and comfort management; Multi objective optimization

Indexed keywords

EID: 84855864872     PISSN: 22106707     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scs.2011.09.001     Document Type: Article

References (17)

1. U. Baumgartner, C. Magele, and W. Renhart Pareto optimality and particle swarm optimization IEEE Transactions on Magnetics 40 2004 1172 1175
2. C.C. Coello, and M. Lechuga MOPSO: A proposal for multiple objective particle swarm optimization The fourth IEEE congress on evolutionary computation Honolulu, HI 2002 1051 1057
3. K. Deb, and D.E. Goldberg An investigation of niche and species formation in genetic function optimization J.D. Schaffer, Proceedings of the third international conference on genetic algorithms George Mason University, Morgan Kaufmann, San Mateo, CA 1989 42 50
4. A.I. Dounis, and C. Caraiscos Advanced control systems engineering for energy and comfort management in a building environment - A review Renewable and Sustainable Energy Reviews 13 2009 1246 1261
5. Itron Inc. California commercial end-use survey 2006 http://capabilities. itron.com/ceusweb/
6. Z. Jiang Agent-based control framework for distributed energy resources microgrids Proc. IEEE int. conf. on intelligent agent technology Hong Kong 2006 646 652
7. M. Laumanns, L. Thiele, K. Deb, and E. Zitzler Combining convergence and diversity in evolutionary multi-objective optimization Evolutionary Computation 10 2002 263 282
8. K. Liu, K. Nakata, and C. Harty Pervasive informatics: Theory, practice and future directions Intelligent Buildings International 2 1 2010 5 19
9. M. Pipattanasomporn, H. Feroze, and S. Rahman Multi-agent systems in a distributed smart grid: Design and implementation IEEE PES power systems conference and exposition Seattle, WA 2009 1 8
10. R. Poli, J. Kennedy, and T. Blackwell Particle swarm optimisation: An overview Swarm Intelligence Journal 1 1 2007 33 57
11. M. Reyes-Sierra, and C.A.C. Coello Multi-objective particle swarm optimizers: A survey of the state-of-the-art International Journal of Computational Intelligence Research 2 2006 287 308
12. Y. Shi, and R. Eberhart A modified particle swarm optimizer Proc. IEEE int. conf. on evolutionary computation Anchorage, AK 1998 69 73
13. L. Wang, and C. Singh Reserve-constrained multi area environmental/ economic dispatch based on particle swarm optimization with local search Engineering Applications of Artificial Intelligence 22 2009 298 307
14. Z. Wang, R. Yang, and L. Wang Multi-agent intelligent controller design for smart and sustainable buildings IEEE international systems conference San Diego, CA 2010 277 282
15. Z. Wang, R. Yang, and L. Wang Multi-agent control system with intelligent optimization for smart and energy-efficient buildings IEEE annual conference of industrial electronics society Glendale, AZ 2010 1144 1149
16. Z. Wang, R. Yang, and L. Wang Intelligent multi-agent control for integrated building and micro-grid system IEEE PES innovative smart grid technologies Anaheim, CA 2011 1 7
17. Z. Wang, R. Yang, L. Wang, and A.I. Dounis Customer-centered control system for intelligent and green building with heuristic optimization IEEE PES power system conference and exposition Phoenix, AZ 2011 1 7