PRF Technologies Advances DeepSolar Predict™ Toward Commercial Launch as AI Platform Targets Revenue Optimization Across Renewable Energy Markets
Platform builds on NVIDIA Connect participation and previously announced weather-domain patent filing to address forecasting accuracy, imbalance exposure, storage optimization and real-time market decision-making
TEL AVIV, Israel, May 28, 2026 (GLOBE NEWSWIRE) -- PRF Technologies Ltd. (Nasdaq: PRFX) (“PRF” or the “Company”) today provided an update on the advancement of DeepSolar Predict™, the Company’s AI-driven renewable energy revenue optimization platform, as PRF continues to prepare the solution for planned commercial launch.
DeepSolar Predict is designed to help renewable energy operators move from production monitoring and standalone forecasting to real-time revenue optimization by combining AI forecasting, storage intelligence and market-driven decision support in a single platform.
DeepSolar Predict is being developed with the goal of helping renewable asset owners, operators, and energy market participants improve production forecasting, optimize energy commitments, reduce imbalance exposure, and support higher-value delivery decisions across solar, wind, and battery energy storage assets.
The platform builds on PRF’s previously announced DeepSolar initiatives, including DeepSolar’s participation in the NVIDIA Connect Program and the Company’s patent application covering proprietary methods for plant-level micro-climate modeling designed to improve solar energy production forecast accuracy in competitive electricity markets.
PRF believes renewable energy markets are entering a new phase in which asset owners can no longer rely solely on generation volume, traditional monitoring or standalone forecasting tools. As renewable penetration increases, operators must continuously manage localized weather variability, production uncertainty, imbalance penalties, curtailment risk, grid constraints, storage utilization and real-time market opportunities.
DeepSolar Predict is designed to address these challenges through a unified AI-driven platform that connects the full renewable asset workflow — from weather intelligence and production forecasting to commitment optimization, storage orchestration, delivery planning and real-time market decision support.
The Company believes this integrated approach differentiates DeepSolar Predict from many existing market solutions that address only isolated parts of the renewable energy value chain. DeepSolar Predict is being developed to help operators convert complex operational and market data into actionable decisions intended to improve asset-level economics.
Key planned capabilities of DeepSolar Predict include:
Localized weather intelligence: plant- and asset-level weather modeling designed to improve short-term and intraday renewable production forecasts;
Production forecasting: AI-driven forecasting intended to support more accurate day-ahead and intraday energy commitments;
Imbalance risk management: tools designed to help operators reduce exposure caused by differences between committed and actual energy delivery;
Storage optimization: decision support for battery energy storage systems, including when to store, dispatch or preserve capacity based on market conditions;
Portfolio-level optimization: analytics intended to support renewable operators managing multiple assets across different geographies, grid conditions and market structures;
Real-time market decision support: market-informed analytics designed to help operators identify higher-value delivery opportunities.
“Renewable energy operators are no longer managing only production — they are managing financial exposure in increasingly dynamic power markets,” said Dr. Ehud Geller, Chairman of PRF Technologies. “We believe DeepSolar Predict represents an important expansion of the DeepSolar platform from asset analytics and forecasting into AI-driven revenue optimization. By combining localized weather behavior, production intelligence, grid dynamics, storage flexibility and market conditions, our goal is to help customers move from reactive operations to proactive, data-driven revenue optimization.”
PRF believes DeepSolar Predict is positioned to support a growing need among renewable asset owners, independent power producers, infrastructure investors and energy market participants seeking to improve forecasting accuracy, protect margins and maximize asset value as renewable portfolios scale globally.
The Company’s DeepSolar platform has already advanced across multiple commercial and strategic initiatives, including solar analytics deployments, technical due diligence services, commercial collaboration agreements and development of proprietary forecasting technologies. PRF believes the planned launch of DeepSolar Predict would represent an important next step in expanding DeepSolar from solar asset analytics into broader AI-driven renewable energy optimization.
About DeepSolar
DeepSolar develops advanced digital asset-management technologies for utility-scale renewable energy assets. Its AI-driven algorithms are designed to transform complex operational data into actionable insights — detecting issues, forecasting production, supporting operational decision-making and helping asset owners improve performance and profitability. DeepSolar is an active participant in the NVIDIA Connect program, supporting continued innovation in AI-powered renewable energy solutions.
About PRF Technologies
PRF Technologies (Nasdaq: PRFX) is a company focused on the reformulation of established therapeutics, and a
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