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King Abdullah University of Science & Technology (KAUST)


Wind forecasts power up for reliable energy production

KAUST researchers developed a statistical model providing the best wind forecast yet for Saudi Arabia, aiming to increase renewable energy in the grid and reach 9 gigawatts of installed wind energy by 2030. The model uses advanced statistical approaches to jointly model wind speed and direction, showing improved prediction performance.

SourceKing Abdullah University of Science & Technology (KAUST)·JournalThe Annals of Applied Statistics·DateSep 27, 2020

Making more of methane

Researchers at King Abdullah University of Science & Technology (KAUST) have developed a new method to directly convert methane into commercial products, bypassing multiple energy-intensive stages. The breakthrough uses a molybdenum-zeolite catalyst and identifies two potential activation pathways for carbon-hydrogen bonding.

SourceKing Abdullah University of Science & Technology (KAUST)·JournalAngewandte Chemie International Edition·DateSep 2, 2020

A sharper view of flood risk

Researchers at King Abdullah University of Science & Technology devised a new analytical tool to predict flood risk by adapting a classical statistical model for analyzing extreme rainfall in large datasets. The model demonstrated potential in capturing observed patterns in northeast America, promising improved prediction capabilities.

SourceKing Abdullah University of Science & Technology (KAUST)·JournalJournal of the American Statistical Association·DateJun 8, 2020