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 ...

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

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.

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.

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

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 ...

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

2025 was one of most tumultuous years in memory for American energy policy. From a disastrous repeal of all federal clean energy policy, to soaring energy prices driven by rising demand and fossil ...

2024 was one of the most successful years in America’s clean energy transition. So what will 2025 hold? Building construction prepare to welcome the new year 2025 But the federal policy outlook has ...