MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641018003 A) filed by B V Raju Institute Of Technology; Sainadh Singh Kshatri; Banala Saritha; and Chagam Reddy Subba Rami Reddy, Narsapur, Telangana, on Feb. 18, for 'artificial intelligence-based self-learning digital twin system for real-time health monitoring, fault diagnosis, and lifetime prediction of photovoltaic panels.'
Inventor(s) include Sainadh Singh Kshatri; Banala Saritha; and Chagam Reddy Subba Rami Reddy.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention describes an Artificial intelligence based self-learning digital twin system for real-time health monitoring, fixed diagnostics and lifetime prediction of photovoltaic panels. The system comprises sensors set to collect operational and environmental information, a data acquisition unit, and an artificial intelligence module set to analyze the data collected. The system further comprises a digital twin module set up to generate a virtual representation of the photovoltaic panel, for continuously comparing predicted performance and actual performance to identify degradation and faults. The artificial intelligence module possesses a self-learning mechanism that is used to update predictive models using real time data. The system determines health index, remaining useful life of Photovoltaic panels. The invention allows early fault detection, creative maintenance, improved dependability as well as enhancing operating lifespan of photovoltaic systems. The invention applies to use in residential use, commercial scale, and at utility scale photovoltaic systems installations."
Disclaimer: Curated by HT Syndication.
