Power Demand: Cyclical Spike or Structural Step-Up?
Peak demand has broken its trend line three summers running. We separate weather, data centres and genuine industrial load.
Peak demand has broken its trend line three summers running. We separate the contribution of weather, data-centre load and genuine industrial demand to test whether the step-up is structural or a run of hot years.
- Years analysed
- 9
- Weather share
- ~44%
- Residual CAGR
- 4.1%
- Stance
- Constructive
Key findings
- Weather explains less than half the surprise
Adjusting for degree-days removes a meaningful share of the demand surprise but leaves a persistent residual across all three years.
- Data-centre load is small but compounding fast
The absolute contribution remains modest today. The growth rate is what makes it relevant to a five-year capacity plan.
- Industrial load is the underrated component
Growth in industrial consumption tracks the capex cycle discussed in our industrials work, which links two coverage areas that are usually modelled separately.
Indexed to 100. Sample data.
Decomposition method
We regress peak demand against degree-days to isolate the weather component, then attribute the residual across disclosed data-centre connections and industrial consumption growth.
The attribution is imperfect at the margin and we state the error bands rather than presenting a point estimate as fact.
Implications for capacity planning
If the residual is structural, the reserve margin trajectory implied by current capacity addition plans is tighter than the headline numbers suggest, particularly at peak.
That has direct consequences for merchant power realisation, which we model explicitly in the attached workbook.
What would change the read
A cool summer with demand still above trend would strengthen the structural case considerably. A cool summer with demand reverting to trend would substantially weaken it.
We will publish the updated decomposition after the next peak season regardless of which way it resolves.
Download the full report and model
34-page PDF plus the three-statement model as an editable spreadsheet. Change an assumption and see what the answer becomes.
Downloads are available to subscribers on the Professional and Premium tiers. Demo links on this build are inactive.
Analyst — Materials · SkyGrowthWealth Research
Maintains the model behind this note and publishes every revision to it.
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