AI in Energy & Utilities
Grid optimization, renewable forecasting, asset health, and customer engagement — with the regulatory reporting that comes with all of it.
Last updated: 2026-05-19
What you'll learn
By the end of this course you'll be able to:
- Grid optimization — where AI augments classical OR (and where it doesn’t)
- Renewable integration forecasting — solar, wind, and storage
- Predictive asset maintenance at scale — substations, transformers, turbines
- Outage prediction and response — beyond reactive ticketing
- Customer engagement — smart-meter analytics and demand response
- Compliance and regulatory reporting that satisfies both engineers and regulators
Who this is for
Utility executives, energy company leaders, plant managers, and grid operations heads. Especially relevant for transmission and distribution utilities navigating renewable integration across GCC mega-projects, India’s state-level discoms, and African off-grid markets — where AI ambitions live alongside aging assets and demanding regulators.
Curriculum
8 chapters · 2 hands-on exercises · capstone challenge
Each chapter ends with the learning objectives ticked off. Quizzes are auto-graded with feedback; exercises are open-ended and produce artifacts you can take to your team.
1. The energy-AI fit map
- Identify 7 use cases that ship inside generation, T&D, and retail utility businesses
- Apply the "OT data reliability" filter before scoping any pilot
2. Grid optimization
- Combine forecasting, optimization, and AI assistants for control-room workflows
- Design human-in-loop patterns that dispatchers actually use
3. Renewable integration forecasting
- Build solar and wind forecasts with realistic uncertainty bands
- Couple forecasts to storage dispatch and curtailment decisions
4. Predictive asset maintenance at scale
- Apply sensor + LLM patterns to transformers, turbines, and substations
- Move past pilot purgatory to fleet-wide deployment
5. Outage prediction and response
- Combine weather, asset, and grid telemetry for outage risk scoring
- Build response workflows that compress restoration time
6. Customer engagement and demand response
- Use smart-meter analytics for segmentation without surveilling households
- Design demand-response programs that customers opt into and stay in
7. Compliance and regulatory reporting
- Build LLM-assisted regulatory narratives that survive auditor review
- Maintain evidence chains across SCADA, ERP, and AI systems
Capstone: Capstone: Your utility AI portfolio
- Pick 3 use cases sequenced across 12 months and 2 business units
- Draft the regulator-facing summary for the highest-priority initiative
Capstone deliverable: Every learner who completes this course produces «Your 12-Month Utility AI Portfolio» — a tangible artifact you take back to your organization.
Curriculum live · full chapter content rolling out through 2026.
The outline, learning objectives, references, and capstone deliverable are published. Full chapter content (video, narration, exercises) ships progressively. Get notified when each chapter goes live.
References & sources
Built on cited sources — not vibes.
Every course is researched fresh against vendor documentation, regulatory sources, and peer-reviewed work. Sources used in this course:
International Energy Agency — Digitalisation and Energy
IEA · Source link
IRENA — Innovation Landscape for Renewable Power
International Renewable Energy Agency · Source link
NREL — Grid Modernization Research
National Renewable Energy Laboratory · Source link
Microsoft Industry — Energy and Resources
Microsoft · Source link
Course details
Track
By Industry
Level
Intermediate
Audience
Executive, Director, Manager, Technical practitioner
Function
Operations & Supply Chain, IT & Engineering
Industry
Energy & Utilities
Stack
Microsoft, Stack-agnostic
Paired Gennoor Way phase
diagnose, innovate
Format
video, reading
You finished the course. Now what?
From course to outcome.
Reading this course is step one. The next step is applying it where you work. Here's how Gennoor helps — without the deck, without the pitch.
Run this for your team
A 2-day workshop or virtual cohort for up to 25 of your people, with exercises run on your data and a 30-day adoption plan.
From $5k · 2 weeks · function-specific
Apply this to your data
A 4–6 week pilot that takes what you learned and ships a working system inside your environment. Fixed scope, fixed price, code transferred day one.
From $25k · 6 weeks · production-grade
Just want to talk?
Free 30-minute call. No deck, no pitch. We listen to your situation and tell you honestly what makes sense — even if it isn't us.
Free · no commitment · 30 minutes
Or just keep learning. We recommend next:
Just finished «AI in Energy & Utilities». Want this to go further at your organization?