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

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

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

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 ...

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, ...

Energy Transfer hasn't made an acquisition since the middle of 2024. The company recently stopped work on Lake Charles LNG after it was so close to approving the project. I predict both trends will ...

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 ...

The Fidelity MSCI Energy Index ETF (NYSEARCA:FENY) started 2026 with a 2% gain in the first week. With $1.3 billion in assets ...

Electrical power systems engineers need practical methods for predicting solar output power under varying environmental conditions of a single panel. By integrating an Arduino-based real-time data ...

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 ...