Earticle

초록

영어

In building environment energy management is still a challenging and big problem. Several methods and proposals exist in the literature for energy management, but the tradeoff between occupants’ comfort level and energy consumption reduction is still required more attention to improve occupants comfort index and minimized energy consumption. In this paper, we proposed efficient optimization method for Simultaneous Comfortable and Energy Saving using ACO (Ant Colony Optimization) algorithm in Building Environment. We have given focus in two directions. First is to maximize the occupants’ comfort level and second is to control the usage of power. At the end, we compared results with optimization method using ACO method using GA (Genetic Algorithm). The results show that amount of consumed energy of system using ACO algorithm is consumed less power as compare to the optimization method using GA.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Optimization Approach Based on ACO Algorithm
 4. Simulation and Results
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Azzaya Galbazar [ Department of Computer Engineering Jeju National University, Republic of Korea ]
• Safdar Ali [ Department of Computer Engineering Jeju National University, Republic of Korea ]
• DoHyeun Kim [ Department of Computer Engineering Jeju National University, Republic of Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605