An evolutionary triclustering approach to discover electricity consumption patterns in France
Authors: 
David Gutierrez-Aviles, Jose F. Torres, Francisco Martinez-Alvarez, Jairo CugliariAuthors Info & Claims
Pages 386 - 394
Abstract
Electricity consumption patterns are critical in shaping energy policies and optimizing resource allocation. In pursuing a more sustainable and efficient energy future, uncovering hidden consumption patterns is paramount. This paper introduces an innovative approach, leveraging evolutionary triclustering techniques, to unveil previously undisclosed electricity consumption patterns in France. By harnessing the power of triclustering algorithms, this research provides a comprehensive analysis of electricity usage across various dimensions, shedding light on intricate relationships among variables. Using this novel method, the study reveals concealed patterns and offers insights that can inform decision-makers and stakeholders in the energy sector. The findings contribute to a better understanding of electricity consumption dynamics, aiding in developing more targeted and effective energy management strategies. This research represents a significant step forward in the quest for sustainable energy solutions and underscores the potential of evolutionary triclustering as a valuable tool in uncovering complex consumption patterns.
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April 2024
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Published: 21 May 2024
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