MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611069493 A) filed by Thapar Institute Of Engineering & Technology on June 03, 2026, for Smart Energy Forecasting And Optimization System.
Inventors include Rinkle Rani; Jasleen Kaur; Prisha Singh; Arnav Agarwal; Sanskriti Shukla; Ayush Goyal; and Pallavi.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: SMART ENERGY FORECASTING AND OPTIMIZATION SYSTEM A smart energy forecasting and optimization system integrated appliance level IoT monitoring, machine learning forecasting, and solar aware automation via low cost ESP32 edge controllers and cloud analytics. ESP32 units measured appliance currents with SCT 013 sensors, detected occupancy via PIR/radar, and executed relay controls while transmitting telemetry to a Firebase database. Hybrid XGBoost–LSTM models forecasted day ahead/hours ahead consumption and PV generation using historical data, weather, and occupancy inputs. An automation engine shifted flexible loads to PV surplus periods under user constraints, while a dashboard displayed real time usage, forecasts, and tariff aware bill projections. Edge–cloud partitioning, TLS security, and fallback logic ensured reliability. Prototypes reduced grid draw by 28% in residential trials. No prior art unified these features in an ESP32 tuned platform.
Disclaimer: Curated by HT Syndication.
