Abstract
In this paper, we propose to model the behaviors of Moroccan consumers in terms of energy consumption in different Moroccan buildings using the open MORED (A Moroccan Building Electricity Dataset) dataset as a data warehouse. The techniques used are Machine Learning Algorithms and Data Mining Techniques. The results obtained in this paper allow us to understand the behavior of a Moroccan consumer in terms of energy consumption and the use of appliances in the home. Inter-Appliance Association and Peak Hours detected in this study will be used later to develop an Energy Management System specifically for a Moroccan building. This can lay the foundation for efficient Energy Demand Management while improving end-user participation.
Highlights
Morocco’s primary energy consumption increased by 32% between 2007 and 2017
The methodology illustrated in this paper shows that a 7%-52% energy saving was obtained by an adaptative cooling system depending on occupancy rates
The results demonstrate that the deep learning algorithm can give a sophisticated prediction accuracy
Summary
Morocco’s primary energy consumption increased by 32% between 2007 and 2017 (reaching 20.5 Mtoe that year). There is a growing interest in applying recent technologies in relevant fields such as smart homes in smart cities. Recent technologies are trending to change from the fundamental constituents of a city, smart homes, buildings, and factories in the Fourth Industrial Revolution (Industry 4.0), to smart cities. The increase in the share of renewable energies in the total electricity production, the development of decentralized production within the framework of Law 13.09, the evolution of the uses of electricity in the full expansion ) and the demands of customers who are more and more attentive to their consumption are all factors which make the development of smart grids a necessity to meet all these new expectations The increase in the share of renewable energies in the total electricity production, the development of decentralized production within the framework of Law 13.09, the evolution of the uses of electricity in the full expansion (air conditioning, heating, production of electric vehicles, etc. . . ) and the demands of customers who are more and more attentive to their consumption are all factors which make the development of smart grids a necessity to meet all these new expectations
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