Multi-objective Optimization for Smart Building Energy and Comfort Management as a Case Study of Smart City Platform
- Authors
- Altayeva, A.; Omarov, B.; Cho, Y.I.
- Issue Date
- 2017
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Energy Efficiency; Energy Management; Multi-agent technology; Smart Grid
- Citation
- Proceedings - 2017 IEEE 19th Intl Conference on High Performance Computing and Communications, HPCC 2017, 2017 IEEE 15th Intl Conference on Smart City, SmartCity 2017 and 2017 IEEE 3rd Intl Conference on Data Science and Systems, DSS 2017, v.2018-January, pp.627 - 628
- Journal Title
- Proceedings - 2017 IEEE 19th Intl Conference on High Performance Computing and Communications, HPCC 2017, 2017 IEEE 15th Intl Conference on Smart City, SmartCity 2017 and 2017 IEEE 3rd Intl Conference on Data Science and Systems, DSS 2017
- Volume
- 2018-January
- Start Page
- 627
- End Page
- 628
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4333
- DOI
- 10.1109/HPCC-SmartCity-DSS.2017.86
- ISSN
- 0000-0000
- Abstract
- The methodology of system design of modern intelligent control systems in the electric power industry and their features are considered when providing the required comfort in multi-zone buildings with the use of multi-agent power consumption and comfort management systems. Such a control system covers all the monitored zones of a building and, if necessary, allows providing the greatest possible overall comfort in the building while reducing the required electric power. The purpose of this study is to develop a comfort management system in a multi-zoned building that can provide the greatest possible comfort while reducing the required electric power. © 2017 IEEE.
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