An energy affordability wave election, rising gas prices, Canadian grid expansion, drones and next-gen geothermal grow.

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Net-demand energy forecasts are critical for competitive market participants, such as in the Electric Reliability Council of Texas (ERCOT) and similar markets, for several key reasons. For example, ...

AI-Powered pTrack® Platform Now Available to PJM Customers, Offering Real-Time Peak Prediction and Demand Response Tools Amid Soaring Capacity Costs Expanding into PJM aligns with our mission to ...

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 ...

Energy Transfer (NYSE: ET) is having a rather disappointing 2025. Units of the master limited partnership (MLP) are down over 15% year-to-date. That's due in part to a significant slowdown in its ...