METHODOLOGICAL ASPECTS OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO THE ENERGY EFFICIENCY MANAGEMENT OF ALGERIA’S HOUSING STOCK

Hocine Sami Belmahdi, Marouane Samir Guedouh

Abstract


Introduction: In Algeria, the housing sector accounts for a significant portion of the country’s energy consumption, making creative solutions essential for improving energy efficiency. Artificial intelligence (AI) offers effective tools to optimize energy use and reduce the ecological footprint. Purpose of the study: This study examines the methodological aspects of integrating AI into the energy efficiency management system of Algeria’s housing stock. Methods: The Six W’s approach was employed to analyze AI integration in this context through two steps. First, the theoretical framework was established. Second, a case study was conducted to better understand the context and explore potential solutions from multiple perspectives. Results: The findings of AI integration in urban areas fall into two main categories. The first concerns the stakeholders involved, the methods of AI integration, and the spatio-temporal context. The second addresses the motivation and rationale for selecting specific AI integration strategies, as well as the aspects of AI technologies to be adopted.

Keywords


energy efficiency, Algerian housing, artificial intelligence (AI) integration, Six W’s approach, smart city

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References


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