Intellectual Property India Publishes Patent Application for A Real-Time Embedded System For Electrical Load Prediction And Tariff-Based Energy Cost Estimation With Peak Demand Advisory

MUMBAI, India, Sept. 7 -- Intellectual Property India has published a patent application (202641104408 A) filed by Anurag University on August 31, 2026, for A Real-Time Embedded System For Electrical Load Prediction And Tariff-Based Energy Cost Estimation With Peak Demand Advisory.

Inventors include Dr. P. Harish; Dr. B. Srikanth Goud; Dr. D. Krishna; Choudekari Nikitha; Biradar Mahesh; Nangu Manesh Reddy; Gugulothu Rohith Kumar; and Madasu Akash.

The application for the patent was published on September 04, 2026, under issue no. 36/2026.

Abstract: ABSTRACT The present invention discloses a real-time embedded system (100) for electrical load prediction and energy management, comprising a PESM-004T energy meter (102), a microcontroller (104), an embedded Artificial Neural Network (ANN) prediction unit (106), a control unit (108) having one or more relays, a cloud interface (110), and an electrical load (112). The energy meter (102) acquires real-time electrical parameters comprising voltage, current, and power, which are processed by the microcontroller (104) and provided to the prediction unit (106) for predicting future electrical load demand using real-time and historical electrical data. The control unit (108) selectively controls the electrical load (112) through the one or more relays based on the predicted load demand. The cloud interface (110) enables remote monitoring and visualization of the electrical parameters and predicted load demand through an IoT monitoring platform. The system thereby facilitates real-time load prediction, remote monitoring, and proactive electrical load management. The figure associated with abstract is Fig. 1.

Disclaimer: Curated by HT Syndication.