Abstract
This paper reviews previous and recent trends in energy management systems (EMS) and energy information communication technologies (EICT) for smart home applications. Relevant EMS and EICT publications on smart homes are reviewed. This paper first analyzes different energy management approaches for smart home applications, including fuzzy logic, neural networks, heuristic methods, and evolution-based approaches. Then, various EICT approaches are surveyed to evaluate the feasibility of smart home applications by discussing historical developments and introducing advanced EICT methods. Importantly, this paper contributes to efforts to further advanced energy management technologies for smart home applications.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Leeds, D. J. (2009). The smart grid in 2010: market segments, applications and industry players. Greentech Media Inc.
Lien, C. H., Bai, Y. W., & Lin, M. B. (2007). Remote-controllable power outlet system for home power management. IEEE Transactions on Consumer Electronics, 53, 1634–1641.
Roy, A., Das, S., & Basu, K. (2007). A predictive framework for location-aware resource management in smart homes. IEEE Transaction on Mobile Computer, 6, 1270–1283.
Zhang, L., Leung, H., & Chan, K. (2008). Information fusion based smart home control system and its application. IEEE Transactions on Consumer Electronics, 54, 1157–1165.
Vainio, A. M., Valtonen, M., & Vanhala, J. (2008). Proactive fuzzy control and adaptation methods for smart homes. IEEE Intelligent Systems, 23, 42–49.
Zhao, J. H., Dong, Z. Y., Xu, Z., & Wong, K. P. (2008). A statistical approach for interval forecasting of the electricity price. IEEE Transactions on Power Systems, 23, 267–276.
Pedrasa, M. A. Spooner, E. D., & MacGill, I. F. (2009). Improved energy services provision through the intelligent control of distributed energy resources. In 2009 IEEE Bucharest Power Tech Conference, pp. 1–8.
Han, D., & Lim, J. (2010). Smart home energy management system using IEEE 802.15.4 and ZigBee. IEEE Transactios on Consumer Electronics, 56, 1403–1410.
Pedrasa, M. A. A., Spooner, T. D., & MacGill, I. F. (2010). Coordinated scheduling of residential distributed energy resources to optimize smart home energy services. IEEE Transactions on Smart Grid, 1, 134–143.
Mohsenian-Rad, A. H., & Leon-Garcia, A. (2010). Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Transactions on Smart Grid, 1, 120–133.
Du, P., & Lu, N. (2011). Appliance commitment for household load scheduling. IEEE Transactions on Smart Grid, 2, 411–419.
Motamedi, A., Zareipour, H., & Rosehart, W. D. (2012). Electricity price and demand forecasting in smart grids. IEEE Transactions on Smart Grid, 3, 664–674.
Huang, C. M., Yang, S. P., Yang, H. T., & Huang, Y. C. (2012). Combined particle swarm optimization and heuristic fuzzy inference systems for a smart home one-step-ahead load forecasting. Journal of the Chinese Institute of Engineers, 35, 1–10.
Acknowledgments
Financial supports from the National Science Council, Taiwan, R.O.C. under the Grant No. NSC 102-3113-P-006-015 and NSC 101-2632-E-230-001-MY3 are acknowledged.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Sun, HC., Huang, YC., Huang, CM., Tung, CC. (2014). Energy Management Technologies for Smart Home Applications. In: Juang, J., Chen, CY., Yang, CF. (eds) Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems (ICITES2013). Lecture Notes in Electrical Engineering, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-319-04573-3_82
Download citation
DOI: https://doi.org/10.1007/978-3-319-04573-3_82
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04572-6
Online ISBN: 978-3-319-04573-3
eBook Packages: EngineeringEngineering (R0)