The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment ...

With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...

AI is accelerating the evolution of energy governance at every level. Research demonstrates that AI is now central to urban ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...