Energy Saving by Using Internet of Things Paradigm and Machine Learning
Nowadays, energy consumption is acquiring growing attention for the economic and environmental implications in our society due to the growing number of electronic home devices. From this perspective, the Internet of Things (IoT) and Machine Learning have
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Orizaba, Veracruz, Mexico [email protected], {galor,hmnoz}@ito-depi.edu.mx, [email protected] 2 CONACYT - Instituto Tecnológico de Orizaba, Av. Oriente 9 no. 852. Col. Emiliano Zapata, 94320 Orizaba, Veracruz, Mexico [email protected] 3 Department of Electrical Engineering, CINVESTAV-IPN, Av. Instituto Politécnico Nacional, 2,508 Col. San Pedro Zacatenco, Delegación Gustavo A. Madero, 07360 Mexico City, Mexico [email protected]
Abstract. Nowadays, energy consumption is acquiring growing attention for the economic and environmental implications in our society due to the growing number of electronic home devices. From this perspective, the Internet of Things (IoT) and Machine Learning have emerged as technologies that allow monitoring and controlling devices installed in houses to detect behavioral patterns that identify feasible scenarios of energy saving. For this reason, intelligent configuration approaches for home automation are of utmost importance. This paper proposes a mobile application (called IntelihOgarT) that optimizes energy consumption through Machine Learning and IoT, while improving, at the same time, comfort at home. The proposed application makes use of Machine Learning algorithm C4.5, which automatically takes decisions based on attributes of a training data set. Furthermore, the case study presented validates the effectiveness of the mobile application, where efficient use of energy at home is a primary concern. Keywords: Energy saving · Home automation · Internet of Things · Machine Learning
1 Introduction IoT consists of interconnected physical devices and software components. These connected things or objects exchange information to provide a service to the end-user [1]. Currently, there are large numbers of devices for daily use, such as smartphones, sensors, actuators, smart televisions, cameras, among others. IoT is increasingly used for the realization of intelligent home environments. IoT largely improves the solutions inspired in the service-oriented principles to enhance the quality of service and security © Springer Nature Switzerland AG 2020 L. Martínez-Villaseñor et al. (Eds.): MICAI 2020, LNAI 12469, pp. 447–458, 2020. https://doi.org/10.1007/978-3-030-60887-3_38
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of the modern lifestyle of home residents [2]. Domotic comprises a set of methods and technologies designed for home automation, including security, energy management, welfare and communications schemes. Energy saving and comfort are essential in a home automation system that becomes highly benefited when combined with IoT leading to an improvement in the well-being of users [3]. Additionally, energy efficiency is a topic of enormous interest among the scientific community and society in general, since in recent years a serious concern has emerged to alleviate the negative impact of energy consumption in the environment [4]. IoT applications to Domotics face important challenges such as the lack of platforms that allow suitable communication among devices, the availabilit
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