Core Insights - PRF Technologies Ltd. has filed a patent application for proprietary methods aimed at improving solar energy production forecasts through micro-climate modeling [2][3] - The patent is part of the company's strategy to enhance its intellectual property portfolio and expand in the renewable energy optimization market [7] Group 1: Patent and Technology - The patent application is designed to protect the core intellectual property of DeepSolar Predict, a solar forecasting software platform [3] - The technology addresses limitations in conventional solar forecasting by modeling localized weather conditions that affect individual solar plants [4] - The patented approach allows for more accurate short-term and intraday production forecasts, adapting to real-time environmental changes [4] Group 2: Commercial Implications - Improved forecasting accuracy can lead to better positioning in electricity markets, reduced financial penalties from forecast errors, and enhanced revenue during favorable pricing conditions [5] - The technology aims to support operational decision-making for solar asset owners and operators, ultimately improving financial performance [6] Group 3: Company Overview - PRF Technologies focuses on AI-driven energy optimization technologies and has a dual business model that includes pharmaceutical programs [9] - The company is committed to applying precision technology across sectors such as healthcare and sustainable energy [10] - DeepSolar's AI-driven algorithms are designed to maximize asset performance and profitability for utility-scale solar plants [8]