Frontiers

Early Warning Systems for Coastal and Nearshore Infrastructure: Integrating Forecasting, Data Assimilation, and Machine Learning

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
Nature

Electric load forecasting based on kernel extreme learning machine optimized by improved sparrow search algorithm

Electric load forecasting’s accuracy and reliability are pivotal for enhancing the dispatch efficiency of power systems and the integration of renewable energy into the grid. In response to this need, ...
Nature

Mountain flood forecasting in small watershed based on loop multi-step machine learning regression model

Mountain flood in small watershed is widely distributed disaster, which have the characteristics of strong suddenness, great harm, and frequently. The traditional ...
Frontiers

Hybrid Hydroinformatics: Integrating Machine Learning and Process-Based Modeling for Climate-Resilient Water Systems

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...
Phys.org

Machine learning encoder improves weather forecasting and tsunami prediction

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied ...
Phys.org

New study uses AI and machine learning to improve seasonal weather predictions

A team of researchers at the Universities of Lincoln, Sheffield, and Reading have developed a new method to improve the prediction of seasonal weather conditions in the U.K. and Northwest Europe. The ...
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 ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
The Conversation

AI can help forecast air quality, but freak events like 2023’s summer of wildfire smoke require traditional methods too

Wildfire smoke from Canada’s extreme fire season has left a lot of people thinking about air quality and wondering what to expect in the days ahead. In most cities, it’s easy to find a daily air ...
Nextgov

AI can help forecast air quality, but freak events like 2023’s summer of wildfire smoke require traditional methods too

COMMENTARY | When wildfire smoke turned New York City’s skies orange in early June 2023, emergency room visits for asthma doubled. Wildfire smoke from Canada’s extreme fire season has left a lot of ...