Strategic energy efficiency plan aligned with artificial intelligence. Case study: CETis 91

This paper describes the design and implementation of an AI-powered

energy efficiency strategic plan aligned with the Project Management

Institute [PMI] guidelines. The plan aimed to optimize electricity

consumption, reduce operating costs, and decrease the carbon footprint

of a high school. A mixed-methods approach was employed in this

research, using a case study at CETis 91. This study was supported by

PMI processes, energy management systems [EMS], and data analysis

using sensors and artificial intelligence tools to identify consumption

patterns. The results demonstrate how a strategic plan allows for the

precise identification of opportunities to improve environmental

management, from replacing lighting with LED technology in high

traffic areas to promoting the adoption of energy-efficient practices by

the school community. Finally, the paper describes how the integration

of strategic planning, project management, artificial intelligence, and

energy management systems fosters systematic, replicable, and

sustainable institutional energy management in public educational

settings.