PRF Technologies Ltd. has announced the filing of a patent application for proprietary methods in solar plant-level micro-climate modeling, aimed at significantly improving the accuracy of solar energy production forecasts. The technology, which underpins the company's DeepSolar Predict software platform, addresses limitations in conventional forecasting by incorporating highly localized weather data for more precise short-term and intraday predictions. PRF Technologies believes this advancement can help utility-scale solar operators optimize energy dispatch, manage risk, and enhance financial performance. The results and details of this technology were announced as part of the patent filing, but there is no indication that they have been or will be presented at a scientific conference.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. PRF Technologies Ltd. published the original content used to generate this news brief via GlobeNewswire (Ref. ID: GNW9628670-en) on January 20, 2026, and is solely responsible for the information contained therein.