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PRF Technologies expands DeepSolar Predict platform to optimize battery storage revenue

PUBT·07/15/2026 13:16:06
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PRF Technologies expands DeepSolar Predict platform to optimize battery storage revenue
  • PRF Technologies expanded DeepSolar Predict with “Battery-to-Revenue Intelligence” to extend AI-driven revenue optimization to battery energy storage assets.
  • The feature targets decision support for when to store or dispatch power, factoring battery constraints, forecasts, market conditions, imbalance risk, curtailment risk.
  • The rollout follows validation of DeepSolar Predict using real-world European market data as PRF advances toward a planned commercial launch.
  • PRF plans a “What-if Battery Scenario” tool to model potential revenue impact from adding or operating storage across renewable portfolios.
  • The battery capability is expected to form a core component of GridFeed, PRF’s planned platform for renewable energy trading and market participation.


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: 202607150915PRIMZONEFULLFEED9762714) on July 15, 2026, and is solely responsible for the information contained therein.