TMA-EMS™ – Patented AI Energy Management System

TMA-EMS™ (Topological Metabolic Analysis–Based Energy Management System) is a proprietary artificial intelligence framework developed to model, analyze, and optimize electrical energy networks. The system introduces a novel approach to energy management by applying topological and mathematical modeling principles to energy flow, routing, and decision-making across complex power systems.

The increasing integration of renewable energy sources, energy storage, and variable loads has made modern electrical networks significantly more complex. Conventional energy management approaches often struggle to adapt dynamically to these conditions, leading to inefficiencies, energy losses, and suboptimal utilization of available resources.

TMA-EMS™ addresses this challenge by representing energy systems as structured, analyzable networks of energy pathways. This representation enables intelligent optimization, adaptive control, and AI-assisted decision-making that respond dynamically to changing system conditions. The approach is designed to support efficient energy distribution, improved system performance, and scalable deployment across diverse energy environments.

The TMA-EMS™ framework is applicable to a wide range of electrical energy systems, including renewable energy installations, battery and energy storage systems, microgrids, smart grids, and hybrid grid-connected or off-grid energy networks. Its flexible architecture allows it to be adapted for both centralized and distributed energy management scenarios.

TMA-EMS™ is protected under a United States provisional patent filed with the U.S. Patent and Trademark Office. The invention is titled “Topological Metabolic Analysis–Based Energy Management System (TMA-EMS) for Electrical Energy Networks.” The provisional patent application number is 63/926,766, with a filing date of November 27, 2025. The inventor and applicant is Dr. Kasim Ali Mohammad. A foreign filing license has been granted.

The TMA-EMS™ invention, including all associated methods, architectures, and intellectual property, is solely owned by Texas Artificial Intelligence Technologies LLC unless explicitly stated otherwise.

To support responsible commercialization, education, and large-scale deployment of the technology, Texas Artificial Intelligence Technologies LLC engages selected strategic and advisory organizations. These organizations contribute at the planning, advisory, and institutional engagement levels and do not participate in inventorship, technical authorship, or ownership of the TMA-EMS™ intellectual property.

This page describes a patented technology under active intellectual property protection. Technical details, algorithms, and implementation specifics are intentionally limited to preserve proprietary rights.