Nature

Machine Learning Techniques for Streamflow Forecasting articles from across Nature Portfolio

A precise streamflow forecast is crucial in hydrology for flood alerts, water quantity and quality management, and disaster preparedness. Machine learning (ML) techniques are commonly employed for ...
BIOENGINEER

Simple Machine Learning Beats Deep Learning in Real Rural Energy Communities

In a small valley in Asturias, northern Spain, a cluster of rural houses and a technology center have become the testing ...
Phys.org

Machine learning technology boosts analog weather forecasting

Machine learning technology that can recognize human faces may also help to improve weather forecasts, according to a team of scientists. "The idea behind this work comes from Google's FaceNet, but ...
Analytics Insight

The Role of Weather Data in AI and Machine Learning Applications

Weather touches nearly every part of modern life, from the crops we grow to the electricity we use and the routes our packages travel. It is also one of the ric ...
TweakTown

Machine learning can now forecast lightning sooner than other methods

In a new study led by the University of Washington, researchers have demonstrated artificial intelligence's ability to improve lightning forecasts. Lightning strikes led to the devastating California ...
Supply Chain

Supply Chain Forecasting: The Machine Learning Revolution

Picture a single forecasting mistake triggering a cascade of negative consequences, such as surplus inventory, strained supplier relationships and disappointed customers. In today's world, accurate ...
Forbes

How To Improve Demand Forecasting With Machine Learning And Real-Time Data

The Covid-19 pandemic has proved that history no longer repeats itself when it comes to understanding consumer behavior. Demand forecasting systems have been ill-equipped to address disruptions to our ...
InfoQ

Francesca Lazzeri on Machine Learning for Time Series Forecasting

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Joe Cassavaugh shares his journey from ...
PV Tech

Machine learning boosts solar forecasting to ease grid pressures in Australian study

An operational solar farm in Australia, where the study took place. Image: Nextracker. Machine learning techniques have been used in a study to boost the accuracy of renewables forecasts by up to 45%, ...
Morningstar%2c Inc.

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 ...
Nature

Water Level Forecasting Using Machine Learning Techniques articles from across Nature Portfolio

Uncover the latest and most impactful research in Water Level Forecasting Using Machine Learning Techniques. Explore pioneering discoveries, insightful ideas and new methods from leading researchers ...