MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202641001587 A) filed by Muthayammal Engineering College, Namakkal, Tamil Nadu, on Jan. 7, for 'machine learning based iot system for solar power optimization.'
Inventor(s) include Dr. R. Nallusamy; Revathi P; Suganya I; Anand M; Abirami G; Vijayadharshini S; Sri Janani A; Shalini S; Nithya R K; Shavukuru Sreekanth; Daddolu Suresh; and Jampani Harinag.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a machine learning based Internet of Things (IoT) system for solar power optimization that enables intelligent, adaptive and predictive management of solar energy generation, storage and utilization. The system comprises distributed IoT-enabled sensors configured to continuously monitor environmental and electrical performance parameters associated with a solar power installation. Sensor data is processed using edge and centralized computing units and analyzed by machine learning models to predict energy generation, detect anomalies and optimize operational decisions. The system autonomously regulates parameters such as panel orientation, inverter operation, energy storage utilization and load scheduling to maximize energy harvesting efficiency and system reliability. Predictive maintenance and multi-horizon energy forecasting capabilities further enhance operational performance. The invention supports scalable deployment across residential, commercial, industrial and utility-scale installations and enables integration with smart grid infrastructure, thereby improving energy yield, sustainability and reliability of solar power systems."
Disclaimer: Curated by HT Syndication.
