Multi-Agent Recommendation System for Electrical Energy Optimization and Cost Saving in Smart Homes

Diego M. Jiménez-Bravo, Javier Pérez-Marcos, Daniel H. De la Iglesia, Gabriel Villarrubia González and Juan F. De Paz
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Diego M. Jiménez-Bravo: Expert Systems and Applications Lab, Faculty of Science, University of Salamanca, Plaza de los Caídos s/n, 37002 Salamanca, Spain
Javier Pérez-Marcos: Expert Systems and Applications Lab, Faculty of Science, University of Salamanca, Plaza de los Caídos s/n, 37002 Salamanca, Spain
Daniel H. De la Iglesia: Expert Systems and Applications Lab, Faculty of Science, University of Salamanca, Plaza de los Caídos s/n, 37002 Salamanca, Spain
Gabriel Villarrubia González: Expert Systems and Applications Lab, Faculty of Science, University of Salamanca, Plaza de los Caídos s/n, 37002 Salamanca, Spain
Juan F. De Paz: Expert Systems and Applications Lab, Faculty of Science, University of Salamanca, Plaza de los Caídos s/n, 37002 Salamanca, Spain

Energies, 2019, vol. 12, issue 7, 1-22

Abstract: The European Union Establishes that for the next few years, a cleaner and more efficient energy system should be used. In order to achieve this, this work proposes an energy optimization method that facilitates the achievement of these objectives. Existing technologies allow us to create a system that optimizes the use of energy in homes and offers some type of benefit to its residents. Specifically, this study has developed a recommendation system based on a multiagent system that allows to obtain consumption data from electronic devices in a home, obtain information on electricity prices from the Internet, and provide recommendations based on consumption patterns of users and electricity prices. In this way, the system recommends new hours in which to use the appliances, offering the economic benefit that it would propose recommendations for the user. In this way, it is possible to distribute and optimize the use of energy in homes and reduce the peaks in electricity consumption. The system provides encouraging results in order to resolve the problem proposed by the European Union by optimizing the use of energy among different hours of the day and saving money for the customer.

Keywords: data acquisition; data processing; electricity; energy optimization; Internet of Things; money saving; multiagent; recommendation system; smart home (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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