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AI in Energy Programs: From Primer to Practice
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Awards 0.3CEUs / 3 PDH (Click for more info)
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Artificial intelligence is quickly moving from a buzzword to a practical business tool across the energy sector. From customer engagement and load management to workforce development and program delivery, AI is already shaping how utilities and energy organizations operate.
This pre-conference session provides a clear, practical introduction to AI designed specifically for energy professionals.
The session is structured in two parts:
AI Foundations introduces essential AI concepts and terminology in an energy-relevant context. Participants will build a baseline understanding of how modern AI works, what it can and cannot do, and why data privacy, security, and responsible use are critical across all applications. This segment also explores how AI supports customer engagement, load forecasting, grid resiliency, and internal utility operations.
AI in Action brings those foundations to life through real-world examples from across the energy sector. Presenters will highlight current applications of AI in workforce development, program design, customer segmentation, call center support, forecasting, billing insights, and evaluation. Attendees will see how AI tools are being applied today and what lessons can inform future pilots and implementations.
Throughout the session, presenters will address ethical considerations, data safeguards, and practical decision points to help organizations assess AI tools thoughtfully and responsibly.
Participants will leave with a clearer understanding of how AI is being used across energy programs and utility operations, along with practical insights they can apply within their own organizations.
By the end of the session, you will:
- Describe core artificial intelligence concepts and terminology relevant to utility operations, customer engagement, and energy programs.
- Explain how AI supports customer segmentation, personalization, load forecasting, workforce development, and internal decision-making.
- Differentiate between common AI applications and identify appropriate use cases within the energy sector.
- Evaluate data privacy, security, and ethical considerations associated with implementing AI tools.
- Identify practical opportunities to responsibly pilot or apply AI solutions within their organizations.
Who Should Attend
This session is designed for utility and energy professionals who are interested in practical applications of AI across programs and operations. It is relevant for program managers, implementers, evaluators, regulators, consultants, analysts, and professionals supporting customer engagement, operations, or communications. No technical background is required.
You’ll leave this session ready to confidently identify, discuss and apply AI opportunities within your own organization.
Speakers
Madeline Bodell
Solutions Consultant, Bidgely
Madeline began her career in the energy industry as a Technical Program Manager at Bidgely in 2023, leading customer implementations across customer engagement, energy efficiency, demand response and analytics solutions.
Since 2025, she has served as a Solutions Consultant, supporting Bidgely’s sales organization with deep product expertise and advanced solutioning for utility use cases and evolving market needs. Madeline also serves as a co-chair of AESP’s Advancing Systems and Climate Resilience Topic Committee.
Greg Blair
Vice President, Julius
Greg leads workforce partnershups focused on fast-moving, infrastructure-driven industries. With over 15 years of experience at the intersection of workforce, data and emerging technologies, his work helps companies, policymakers, regional coalitions and industry trade organizations use real-time job posting data, skills analysis, and labor market signal detection to understand how talent demand is evolving across dynamic labor markets, including AI infrastructure, energy, construction, manufacturing and grid modernization.
Haider Khan
Vice President of Energy Analytics, ICF
Haider has over 24 years of experience in energy and policy modeling, simulation, and optimization. He specializes in decarbonization, DERs, energy efficiency, electrification, and demand flexibility. He has worked with government organizations like NRCan, IESO, USAID, US DOE, and US EPA, as well as utilities such as Toronto Hydro, Exelon, BH, and Entergy.
Mr. Khan leads ICF’s Energy Analytics and Consulting business, focusing on energy and policy modeling, data analytics, software development, and AI & mathematical optimization for buildings, industry, and transportation sectors.