MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202527093441 A) filed by Fluence Energy, LLC on September 29, 2025, for Systems And Methods For Using Machine Learning To Predict Critical Constraints.
Inventors include Daraeepour, Ali; Cunha, Mary, Elaine; and Tso, William, Weikang.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: A computer-implemented method and computer program product for predicting a required committed capacity of an electric utility are provided. The method includes the steps of: (a) performing a stochastic optimization of raw data to produce a total committed capacity from conventional thermal units as a target data, wherein the raw data comprises grid operating conditions; (b) combining the total committed capacity from conventional thermal units with raw features and engineered features to generate training data; (c) training a machine learning model for predicting the required committed capacity of the electric utility using the generated training data; (d) predicting the required committed capacity of the electric utility using the trained machine learning model; and (e) running an augmented version of a deterministic dispatch optimization model based on the predicted required committed capacity of the electric utility. The computer program performs the aforementioned steps.
Disclaimer: Curated by HT Syndication.
