Abstract: Short-term load forecasting (STLF) is essential for power system operations, supporting efficient grid management and resource planning. Deep Residual Networks (DRNs) have emerged as a ...
An AI agent called Zephyrus converts plain-language questions into code to analyze real weather datasets and forecast models ...
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AI weather models show promise for hurricane forecasts, but new study finds key physical limitations
Artificial intelligence is rapidly transforming weather prediction, enabling forecasts that once required hours of supercomputing time to run in just minutes. But as AI tools play an expanding role in ...
Computer scientists and weather scientists have taken the first steps toward creating an AI agent capable of analyzing and ...
A C++ console application that ingests multi-year meteorological CSV data and provides statistical analysis of wind speed, ambient temperature, and solar radiation. Built for ICT283 – Data Structures ...
A significant shift in the nation’s weather pattern could soon put nearly half the country at risk for severe thunderstorms, according to new guidance from the National Weather Service’s (NWS) Storm ...
The Dark Sky founders are back, building Acme Weather around transparency, maps and community-driven alerts. Getty Images “Our biggest pet peeve with most weather apps is how they (or rather, don’t ...
With fewer than 100 days remaining before the official start of the Atlantic hurricane season, scientists at the National Hurricane Center say tropical weather forecasting is at a turning point with ...
The National Hurricane Center is expanding its use of artificial intelligence tools to enhance hurricane tracking and intensity forecasts. The 2026 hurricane season will begin on June 1, 2026. With ...
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