How solar wind forecasting will help define heliosphere's boundaries

Southwest Research Institute (SwRI) scientists are using a solar wind forecasting method combined with analytic and numerical ...
Nature

Research on short-term photovoltaic power generation forecasting model based on multi-strategy improved squirrel search algorithm and support vector machine

Solar photovoltaic (PV) power generation is susceptible to environmental factors, and redundant features can disrupt prediction accuracy. To achieve rapid and accurate online prediction, we propose a ...
Nature

Research on machine learning forecasting and early warning model for rainfall-induced landslides in Yunnan province

Landslides are highly destructive geological disasters that pose a serious threat to the safety of people’s lives and property. In this study, historical records of landslides in Yunnan Province, ...
Ars Technica

AI outperforms conventional weather forecasting for the first time: Google study

On Tuesday, the peer-reviewed journal Science published a study that shows how an AI meteorology model from Google DeepMind called GraphCast has significantly outperformed conventional weather ...
Science Daily

Research improves hurricane intensity forecasting

A collaboration between is improving hurricane forecasting by incorporating the effects of sea spray into the models that predict hurricane behavior. Hurricanes are massive, complex systems that can ...
Phys.org

Researchers use statistics and AI methods to correct systematic errors of weather models

Better protection of humans and the environment requires precise forecasts of extreme weather phenomena, such as winter storms. Researchers of Karlsruhe Institute of Technology (KIT) have now compared ...
National Academies of Sciences%2c Engineering%2c and Medicine

How AI is Shaping Weather Research and Forecasting: An Interview with Amy McGovern

This is the first in a series of interviews exploring how artificial intelligence is affecting a range of fields in science, engineering, and medicine. Amy McGovern leads the NSF AI Institute for ...
Frontiers

Advancing Machine Learning for Space Weather Forecasting: Integrating Solar Observations, Geomagnetic Storm Prediction, and GNSS Ionospheric Forecasting

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...
InfoWorld

An introduction to time series forecasting

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...
PsyPost on MSN

How a new forecasting model accurately predicted the outcome of the 2024 presidential election

A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...