Abstract
This paper describes a Smart Storage System capable of managing energy and smart home devices to optimize the local power consumption of a house. The proposed model consists of two main systems; the Local Energy Management Unit (LEMU) and the Central Energy Management and Intelligent System (CEMIS). On the one hand, the LEMU is able to maintain the power consumption under a maximum reference value and to switch on/off the devices by using domotic protocols. On the other hand, the CEMIS receives operation data remotely from several devices, analyzes them using intelligent techniques and determines the best operation strategy for each LEMU, communicating the operation references back to them.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Pieper, C., Rubel, H.: Revisiting Energy Storage: There Is a Business Case. The Boston Consulting Group (2011)
Guerrero, M., Romero, E., Barrero, F., Milanés, M., González, E.: Supercapacitors: Alternative Energy Storage Systems. In: PRZEGLĄD ELEKTROTECHNICZNY (2009)
Auväärt, A., Rosin, A., Belonogova, N., Lebedev, D.: NoordPoolSpot Price Pattern Analysis for Households Energy Management. In: CPE-2011 Workshop, Tallinn, Estonia, pp. 103–106 (2011)
Lozano-Tello, A., Botón-Fernández, V.: Analysis of Sequential Events for the Recognition of Human Behavior Patterns in Home Automation Systems. In: DCAI-2012, Salamanca, Spain, March 28-30, pp. 511–518 (2012)
van Raaij, F., Verhallen, T.: A Behavioral Model of Residential Energy Use. Journal of Economic Psychology 3(1), 39–63 (1983)
Abreu, J.M., Câmara Pereira, F., Ferrão, P.: Using pattern recognition to identify habitual behavior in residential electricity consumption. Energy and Buildings 49, 479–487 (2012)
Agrawal, R., Srikant, R.: Mining Sequential Patterns. In: ICDE-1995, Taipei, Taiwan, March 6-10, pp. 3–14 (1995)
Youngblood, G.M., Cook, D.J.: Data Mining for Hierarchical Model Creation. IEEE Systems, Man, and Cybernetics, Part C: Applications and Reviews 37(4), 561–572 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Botón-Fernández, V., Romero, M.P., Lozano-Tello, A., Cadaval, E.R. (2013). Intelligent Energy Management System for the Optimization of Power Consumption. In: Pérez, J., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent Systems and Computing, vol 221. Springer, Cham. https://doi.org/10.1007/978-3-319-00563-8_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-00563-8_14
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00562-1
Online ISBN: 978-3-319-00563-8
eBook Packages: EngineeringEngineering (R0)