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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-makingTEL 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 solu

articlePrf Technologies Ltd.May 28, 20264/news/prf-technologies-advances-deepsolar-predicttm-toward-commercial-launch-as-ai-platform-targets-revenue-optimization-across-renewable-energy-markets
PRF Technologies Advances DeepSolar Predict™ Toward Commercial Launch as AI Platform Targets Revenue Optimization Across Renewable Energy Markets

About this update from Prf Technologies Ltd.

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 Pred...

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