Datacenters
Responsible AI growth, backed by proof.
AI is accelerating data-center expansion. But communities and regulators still lack a clear answer to a simple question: how will this facility affect existing utility customers?
Peoples Energy Analytics (PEA) provides independent, meter-level measurement, verification, and mitigation analytics, so you can secure faster, smoother approvals and grow with less friction.
What you receive:
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Pre-build impact assessment (regulator-ready): Scenario-based analysis designed to answer the questions stakeholders will ask before approvals.
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Ongoing annual verification: Independent, repeatable measurement of household-level outcomes over time.
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Targeted mitigation strategies: A practical mitigation plan to reduce grid strain and limit negative household impacts.
The problem: growth is outpacing trust.
Engineering studies can forecast infrastructure needs. Financial-risk tools can estimate broad impacts. But what’s missing is trusted, meter-level forecasting and ongoing measurement of real-world impacts on households.
When that hard evidence isn’t available, regulators hesitate, communities resist, and expansions stall. This can cost millions of dollars in delay, concessions, and political friction.
The solution: a “no-harm” framework with household-level precision.
PEA quantifies—down to the individual meter—which household deployments (for example, weatherization and efficient technologies) can be paired with AI- and cloud-driven data-center growth to reduce peak demand and volatility.
We then provide the regulator-ready evidence to show how these pairings can support:
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Grid stability
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Reduced arrearage and disconnection risk
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Clear, auditable “no harm” outcomes for existing customers
