PRF Technologies Advances DeepSolar Predict™ Platform to Transform Renewable Energy Revenues

PRF Technologies announced that it has successfully validated its DeepSolar Predict™ AI platform using real-world European utility-scale data to optimize revenue across day-ahead and intraday markets. This generation AI-driven revenue optimization platform not only enables operators to manage financial exposure but also accelerates returns through actionable AI-driven decisions.

From Data to Decisions: Powering the Future of Energy

This validation applied real-world historical weather data as well as renewable energy production records and market data, including utility-scale datasets and market conditions representative of the market, to evaluate the platform’s optimization recommendations and decision-support workflows. Whereas DeepSolar Predict combines weather intelligence, production forecasting, and market analytics, supporting decision-making across day-ahead and intraday energy markets.

PRF Technologies has successfully validated its DeepSolar Predict AI platform using real-world data, moving closer to a commercial launch aimed at optimizing revenue for renewable energy operators in dynamic markets. This milestone follows previous advancements, including participation in the NVIDIA Connect program and a patent application for plant-level micro-climate modeling, heightening the emphasis on enhancing production forecasting and market exposure management with additional confidence toward commercial launch.

Efi Cohen-Arazi, Chief Executive Officer of PRF Technologies, also remarked that renewable energy operators are not only managing production but also managing financial exposure in increasingly dynamic power markets, which further supports the company’s goal of bringing advanced revenue optimization capabilities for renewable energy operators.

Impact on ICT Industry

PRF Technologies' validation of its DeepSolar Predict™ AI platform directly addresses the increasing demands in the ICT and green energy sectors for data-driven, real-time renewable energy trading. The integration of AI weather intelligence, production forecasting, and market analytics transforms how utility operators lower financial exposure in dynamic European energy markets.

AI and Cloud Integration validates the platform by leveraging NVIDIA Connect and thereby accelerates the ICT industry’s push into applied AI for the green energy transition. It also sets a new standard for high-performance computing in energy-data processing. It further opens choices for advanced commercial systems that transform traditional data storage and analytics into direct and automated decision-support solutions.

The platform overcomes renewable market limitations by leveraging advanced AI to minimize financial penalties caused by intermittent generation. By combining accurate weather forecasting with real-time analytics, it also optimizes trading across European markets for maximum yield while dynamically managing physical battery assets to gain profitability on fluctuating electricity costs.

Impact of the Solar AI Industry

The global solar AI market is surging, with an overall revenue growth expectation of hundreds of millions of dollars during the forecast period from 2026 to 2035. 

According to Precedence Research, this validation has a greater positive impact on the Solar AI Industry by transforming renewable management from reactive monitoring to proactive financial planning.

The platform transforms production and market data into actionable recommendations, allowing operators to identify higher-value delivery opportunities and boost bottom-line returns. By combining AI-driven weather intelligence and precise energy forecasting, financial maximization and risk mitigation, as the AI synthesizes weather and market data to identify profitable delivery windows while reducing exposure to costly imbalance penalties from generation deviations.

Furthermore, the platform incorporates Battery-to-Revenue Intelligence, enabling operators to strategically dispatch, store, or preserve battery capacity based on real-time grid dynamics. This successful validation acts as a critical strategic stepping stone for PRF Technologies' planned commercial launch of their comprehensive trading and market participation ecosystem.

By integrating plant-level micro-climate modeling and AI-driven forecasting, AI in Renewable Energy effectively eliminates the unpredictable intermittency of solar and wind assets. This predictive precision transforms highly variable generation into a reliable power source by encouraging grid operators to dynamically balance energy supply and demand without needing fossil-fuel curtailment.

About RF Technologies

RF Technologies, whicha are formerly known as PainReform, is an Israeli innovation firm operating in specialty pharmaceuticals and AI-driven energy analytics, actively emphasizing extended-release drug delivery systems and renewable energy optimization.

The company develops PRF-110, a waterless ropivacaine formulation for localized post-operative pain, offering extended, localized post-operative pain relief, and OcuRingTD, a bio-erodible implant for ophthalmic therapeutics. Additionally, its DeepSolar Predict AI platform leverages weather intelligence for renewable energy operators, including solar, wind, and battery storage, to enhance renewable energy production forecasting, grid management, and battery storage optimization.