Predicting a major thunderstorm outbreak several weeks before it happens is still a major ...

Although the world's major weather centers increasingly use artificial intelligence to improve forecasts, complex ...

The Met Office and the Alan Turing Institute have developed FastNet, a machine learning weather prediction model that ...

HIGH-PERFORMANCE computing (HPC) and artificial intelligence (AI) are seen to accurately predict weather forecasting and disaster preparedness in the Philippines. Lenovo, a global technology giant, ...

Subseasonal forecasting, or the ability to predict weather trends two weeks to two months in advance, is a capability highly sought after in various economic sectors, including energy, water ...

Abstract: With the development of computer technology and expanding environmental issues, machine learning has received more and more attention in the field of weather forecasting. Global Navigation ...

Abstract: In this paper, we propose STPLF, which stands for the short-term forecasting of locational marginal price components, including the forecasting of non-conforming hourly net loads. The ...

In recent summers, wildfire smoke has been inescapable across Wisconsin, drifting south from Canada and leading to long ...

Prediction markets and a move toward AI forecasting are starting to put the accuracy of weather predictions at risk. Here’s ...

While much of the public conversation has focused on generative AI, autonomous assistants, and large language models, one of ...

One of the biggest challenges in forecasting severe weather is predicting where damage will occur on the electrical grid. In ...

The latest forecast and air quality conditions for the greater Los Angeles area, including beaches, valleys and desert ...