Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

At times, the sun ejects energetic material into space, which can have consequences for space-based and even ground-based ...

The Writer As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly urgent.Floods, heatwaves, droughts, and air pollution events are ...

Parallel Works announced that its collaboration with GDIT on a solution to expand a large federal agency's complex, mission-critical weather forecasting HPC workloads to the cloud has been awarded the ...

The latest Danfoss Impact White Paper reveals that an ambitious but realistic roll out of demand-side flexibility technology in the EU and UK ...

Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, lakes, and coastal ...

Moreover, research shows that increasing accuracy of weather forecasts can result in thousands of lives saved per year. One ...

Abstract: Increasing numbers of distributed photovoltaic (PV) systems are integrated into power grids. Accurate distributed PV power forecasting is pivotal in guiding individual users to manage their ...

For its 29th edition, Operation Sierra Storm (OSS) is holding their leading National Meteorologist Conference from January 11 ...

Abstract: Time series data permeates our daily existence and has been recognized as of significant importance for many sectors, such as energy, transportation, telecommunication, and health care.

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, ...