AI-enabled smart grids use real-time predictive analytics and machine learning to match supply with demand, improving efficiency.

Competitive pressures to be a low-cost provider can cause many energy and chemicals companies to invest in smart operations capabilities enabled by machine learning and artificial intelligence (AI).

A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...

When it comes to simple ways to drastically improve efficiency, it is tough to beat a smart system that has integrated machine learning. Capable of improving even older appliances with no ...

Sensors embedded throughout capture plants and pipelines continuously measure CO2 concentration, pressure, temperature and ...

The rapid evolution of modern power systems toward highly interconnected and digitized smart grids has significantly improved operational efficiency, ...

Lagos — AI-enabled smart grids are revolutionizing energy production and distribution through real-time predictive analytics and machine learning, dynamically aligning supply with demand. AI is ...