PRF Technologies Expands DeepSolar Predict™ Platform with Battery-to-Revenue Intelligence

PRF Technologies Ltd. announced the expansion of its AI-driven renewable energy revenue optimization platform, DeepSolar Predict™, with a new capability called Battery-to-Revenue Intelligence. This feature is designed to extend the platform's optimization to battery energy storage assets, enabling operators to optimize revenue by considering battery availability, operational constraints, and market conditions. The announcement follows the successful real-world validation of DeepSolar Predict and precedes its planned commercial launch. The new capability aims to help operators move beyond simple battery monitoring to intelligent decision-making regarding when to store, dispatch, or preserve battery capacity based on market opportunities, production forecasts, and grid conditions. PRF Technologies believes this expansion is crucial as battery storage plays an increasing role in the transition to renewable energy and as operators seek to maximize the value of their assets in dynamic power markets. The company also plans to introduce a "What-if Battery Scenario" feature to help asset owners evaluate the revenue impact of battery storage integration.