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Student research abstract: demand behavior analysis and coordination scheduling for energy saving in smart building

Published: 24 March 2014 Publication History

Abstract

A large proportion of energy is consumed in buildings, which could be saved with optimized operation and management without changing building structure and hardware configuration. A new framework is proposed to reduce whole energy consumption of smart buildings based on load behavior analysis and coordination scheduling, consisting of two parts: Load Behavior Analysis System (LBAS) and Distributed Scheduling Systems (DSS).

References

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X. Guan, Z. Xu, and Q.-S. Jia, "Energy Efficient Buildings Facilitated by Microgrid," IEEE Trans. on Smart Grid, vol. 1, no. 3, pp. 243--252, 2010.
[2]
J. Figueiredo and J. Martins, "Energy production system management -- renewable energy power supply integration with building automation system," Energy Conversion and Management, vol. 51, no. 6, pp. 1120--1126, 2010.
[3]
N. Djuric, V. Novakovic, J. Holst, and Z. Mitrovic, "Optimization of energy consumption in buildings with hydronic heating systems considering thermal comfort by use of computer-based tools," Energy and Buildings vol. 39, no. 4, pp. 471--477, 2007.
[4]
B. Sun, P. B. Luh, Q. S. Jia, Z. Jiang, F. Wang, and C. Song, "An integrated control of shading blinds, natural ventilation, and HVAC systems for energy saving and human comfort," 6th annual IEEE conference on Automation Science and Engineering, Marriott Eaton Centre Hotel, Toronto, Ontario, Canada, August 21--24, pp. 7--14, 2010.
[5]
Hart G W. Nonintrusive appliance load monitoring. Proceedings of IEEE, 1992, 80(12): 1870--1891
[6]
Leeb S B, Shaw S R, Kirtley J L. Transient event detection in spectral envelope estimates for nonintrusive load monitoring{J}. IEEE Transactions on Power Delivery, 1995, 10(3): 1200--1210.

Cited By

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  • (2023)A Systematic Review on Demand Response Role Toward Sustainable Energy in the Smart Grids-Adopted Buildings SectorIEEE Access10.1109/ACCESS.2023.328764111(64968-65027)Online publication date: 2023

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cover image ACM Conferences
SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing
March 2014
1890 pages
ISBN:9781450324694
DOI:10.1145/2554850
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 March 2014

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SAC 2014
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SAC 2014: Symposium on Applied Computing
March 24 - 28, 2014
Gyeongju, Republic of Korea

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SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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The 40th ACM/SIGAPP Symposium on Applied Computing
March 31 - April 4, 2025
Catania , Italy

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Cited By

View all
  • (2023)A Systematic Review on Demand Response Role Toward Sustainable Energy in the Smart Grids-Adopted Buildings SectorIEEE Access10.1109/ACCESS.2023.328764111(64968-65027)Online publication date: 2023

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