In the face of increasing global energy demands and the imperative for sustainable management, neural networks have emerged as a core tool for forecasting and optimising energy consumption in ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for reducing those emissions—has been hampered by missing data on how buildings ...

The NOAA Weather Prediction Strategy That Changed Everything Here's the thing: most people check weather forecasts to decide whether to bring an umbrella, not to save hundreds on their heating bill.

We’re seeing some really interesting new ways artificial intelligence utilities are changing how we handle energy and ...

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

This article was originally published at The Empowerment Alliance and is re-published here with permission. For American ...

U.S. oil production reached a new annual record in 2024, but the energy sector as a whole underperformed. The Biden Administration replenished the Strategic Petroleum Reserve more than expected.

Abhay Gupta is co-founder and CEO of Bidgely, evolving energy analytics for utilities with the power of data and artificial intelligence. While these are certainly significant environmental wins, the ...

A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...

The Aardvark Weather machine learning algorithm is much faster than traditional systems and can work on a desktop computer. When you purchase through links on our site, we may earn an affiliate ...

The International Energy Agency has dropped its predictions that oil demand growth will peak in a matter of a few years. In the latest edition of its World Energy Outlook, the IEA said oil and gas ...