ETAP Electrical AI Copilot – Revolutionizing Power Engineering with Generative AI and LLMs
ETAP Electrical AI Copilot – Revolutionizing Power Engineering with Generative AI and LLMs
Large Language Models (LLMs) are rapidly emerging as transformative technologies across many industries, including power system engineering and operations. The Electrical AI Copilot concept envisions an intelligent assistant that leverages LLMs to support grid engineers and operators in real time by enhancing decision-making, situational awareness, operational efficiency, and engineering productivity.
By integrating domain-specific knowledge, operational procedures, and engineering calculation engines, an Electrical AI Copilot can assist power engineers in addressing technical queries, performing studies and simulations, supporting autonomous decision-making and control, summarizing reports, and enabling a wide range of tasks across the power grid ecosystem.
This webinar will present the ETAP Electrical AI Copilot, demonstrating how generative AI and LLM technologies can transform power system analysis, operations, and engineering workflows.
Presenter:
Ahmed Saber, PhD
VP Optimization and AI, ETAP, USA
Ahmed Saber is a power systems expert specializing in AI/ML applications in power engineering, Electrical Copilot technologies, smart grids, distributed energy resources, energy storage, Volt-VAR optimization, EV integration, power system optimization, forecasting, and intelligent grid operations. He has authored over 100 research articles, holds multiple patents, and has served as Guest Editor-in-Chief for a special issue in IEEE Transactions on Sustainable Energy.
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Farhad Hossain
Chair, IEEE PES UOW SBC
University of Wollongong
NSW, Australia
email: mfh348@uowmail.edu.au
- Starts 26 May 2026 02:00 PM UTC
- Ends 02 June 2026 12:00 AM UTC
- No Admission Charge
Speakers
Ahmed Saber of ETAP
ETAP Electrical AI Copilot – Revolutionizing Power Engineering with Generative AI and LLMs
Ahmed Saber, PhD is the VP Optimization and AI at ETAP, USA, with expertise in AI/ML for power systems, smart grids, energy storage, EV integration, Volt-VAR optimization, forecasting, and intelligent power system operations. He has published 100+ research articles, holds multiple patents, and has served as Guest Editor-in-Chief for a special issue in IEEE Transactions on Sustainable Energy. His current work focuses on applying Generative AI and Electrical AI Copilot technologies to modern power system engineering and operations.
Biography:
Dr. Ahmed Saber is the Vice President of Optimization and Artificial Intelligence at ETAP, USA, specializing in AI/ML applications for power systems, Electrical AI Copilot technologies, smart grids, distributed energy resources, energy storage, and intelligent power system operations.
His technical expertise includes Volt-VAR optimization and control, EV/V2G integration, distributed energy resources, forecasting, predictive analytics, power system optimization, smart inverter applications, grid resiliency, power markets, and intelligent grid operations.
Dr. Saber has authored more than 100 research publications, holds multiple patents, and has received several professional recognitions and competitive grants. He also served as Guest Editor-in-Chief for a special issue on “Real-Time Applications of Intelligent Methods in Sustainable Power and Energy Systems” in IEEE Transactions on Sustainable Energy.
His current work focuses on leveraging Generative AI, Large Language Models (LLMs), and Electrical AI Copilot technologies to transform engineering workflows, decision-making, simulations, and operations across modern electric power systems.
Address:Irvine, California, United States
Agenda
11:00–11:10 AM (Sydney) — Welcome & Introduction
11:10–12:10 AM — Technical Talk: ETAP Electrical AI Copilot
12:10–12:30 PM — Q&A Session