Digitalisation d'une ETI - Retour d'expérience d'un CDO & CIO passé par là

The energy sector, vital for the functioning of modern societies, is undergoing a significant transformation, largely fueled by advances in Artificial Intelligence (AI). AI's application in energy is diverse, ranging from improving energy efficiency to optimizing renewable energy sources. This article explores the various ways AI is revolutionizing the energy sector.

Predictive Maintenance

AI algorithms are increasingly used for predictive maintenance of energy infrastructure. By analyzing data from sensors and historical records, AI can predict potential equipment failures before they occur, reducing downtime and maintenance costs. This proactive approach is crucial for ensuring uninterrupted energy supply, especially in critical infrastructure like power plants and electrical grids.

Renewable Energy Optimization

Renewable energy sources such as solar and wind are unpredictable and intermittent. AI helps in predicting energy output from these sources by analyzing weather data and patterns. This prediction aids energy companies in balancing the grid by anticipating energy surpluses or shortages, ensuring a more stable and efficient energy supply.