Case Study
Forecasting Grid Demand for Net-Zero Transition Planning
Organisation: NorthGrid Energy Systems (Exemplar)
An energy partner combined forecasting models with planner expertise to support local grid investment and resilience decisions.
Overview
Overview
- Sectors
-
Clean Energy Industries
- Competencies
-
C53 C59 C62
- Duties
-
D12 D12 D16
- Audience
-
Post-16 , FE/HE , Adult learners
- Skills areas
-
Data stewardship and documentation , Operational decision-making
- Routing
-
Schools , Colleges
People and engagement
- People
-
- Industry mentor lead - non-traditional pathway highlighted in delivery notes
- Engagement
-
- Delivery mode agreed during brokerage routing
Curriculum
- AI Skills for Business competency-linked activity
The challenge
What needed to change
Electrification growth created uncertainty around local demand peaks and upgrade sequencing for constrained infrastructure.
The approach
How AI was introduced
The team combined weather and usage features in a forecasting pipeline, then reviewed outputs in multidisciplinary planning meetings.
The impact
What changed in practice
Planning options became easier to compare and explain, with clearer assumptions documented for stakeholders and regulators.
Case Narrative
This exemplar is designed for discussions about sustainability and AI operations. Students can compare model performance metrics with broader system outcomes such as resilience, cost, and environmental impact.
It also supports teaching on cross-disciplinary collaboration between engineers, analysts, and planners.
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