Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Abstract: In bustling urban cities, the efficiency of public transportation stands as a critical factor in alleviating traffic congestion and enhancing the daily commuter experience. This paper ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

When most of us think about artificial intelligence (AI), we envision algorithms, learning loops, and vast data models ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

Abstract: In order to ensure population diversity and overcome premature convergence, differential evolution strategy was introduced and a whale particle swarm hybrid algorithm was proposed. The ...