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White Paper

Energy Price & Queue Efficiency by Utility Territory

A two-dimensional framework for evaluating data center power economics across 90+ US utility territories

Power Investor ResearchFebruary 2026

Abstract

Over the past 12 months, the critical path to new power capacity has shifted. Procurement of long-lead equipmentbreakers, transformers, turbinesis no longer the binding constraint; permitting and interconnection of new generation now define the timeline. With roughly 1,000 GW of large-load interconnection requests in queues across the country and signed energy contracts confirming that most markets and utilities are short on generation through 2030, a central question emerges: given finite global manufacturing capacity for new generation, which markets can bring that capacity online quickly and at competitive cost?

This analysis evaluates 90+ utility territories across the contiguous United States on two dimensions simultaneouslyblended energy cost and interconnection speedproducing a bivariate classification that reveals distinct geographic clusters. SPP and ERCOT territories consistently occupy the favorable quadrant: low energy prices combined with fast interconnection timelines. ISO-NE, NYISO, and CAISO territories face both high costs and prolonged queue backlogs, creating a structural disadvantage for new large-load development.

The Two-Dimensional Challenge

Two variables determine the economics of powering a large-load data center: the cost of energy and the speed at which new generation can be interconnected. The cost of power sets long-term operating economics; interconnection speed sets the timeline to revenue. Evaluating either dimension in isolation introduces material risk. A low-cost utility territory with a six-year interconnection queue is far less attractive than headline rates suggestthe carrying cost of delayed revenue erodes the tariff advantage well before electrons flow. Conversely, a territory with a fast queue but high all-in energy costs may never pencil on long-term operating economics, regardless of how quickly a generator interconnection agreement can be secured.

Our framework combines both dimensions into a bivariate analysis using actual utility tariff data and ISO/RTO queue performance metrics. The independence of each axis is preserved, allowing developers and investors to weight cost versus speed according to their own project constraints and risk profiles.

The result reveals distinct geographic clusters of opportunity that align withand sharpenthe broader state-level tier rankings presented in our companion analysis. As the supply-demand deficit forecast in that analysis demonstrates, the structural gap between projected demand and firm deliverable capacity makes these geographic advantages increasingly material through 2030.

Framework Methodology

Each utility territory is evaluated on two independent axes, then classified into a 3×3 bivariate matrix.

Blended Rate (Horizontal Axis)

All-in cost per kWh including demand charges, energy charges, and fuel adjustments, modeled for a 600 MW data center load operating at an 80% capacity factor. This captures the true delivered cost of power rather than headline tariff rates alone.

  • Low: Below 7¢/kWh
  • Mid: 7–12¢/kWh
  • High: Above 12¢/kWh

GIA Speed (Vertical Axis)

Estimated interconnection timeline based on ISO/RTO queue processing data. This reflects the practical time from queue entry to an executed generator interconnection agreement, informed by recent cohort performance.

  • Fast: SPP, ERCOT — 2–4 years
  • Moderate: MISO, PJM — 4–5 years
  • Slow: CAISO, ISO-NE, NYISO — 6+ years

The intersection of these two axes produces nine cells. Over 90 utility territories are mapped into this 3×3 bivariate classification, enabling rapid visual comparison across the entire contiguous US.

Utility Territory Map

Utility territories colored by blended energy rate (horizontal axis) and generation interconnection speed (vertical axis). Dark green = low rate + fast GIA. Light red = high rate + slow GIA.

What the Map Reveals

Favorable Quadrant (Dark Green)

SPP territories — including Oklahoma Gas & Electric, Public Service Company of Oklahoma, Evergy Kansas, and Empire District — along with ERCOT territories such as Oncor, CenterPoint, and AEP Texas consistently appear in the most favorable cell. These territories offer both competitive blended rates below 7¢/kWh and interconnection timelines in the two-to-four year range. For developers seeking the shortest path to energized capacity at the lowest operating cost, this cluster represents the strongest opportunity set in the US market.

Mixed Territories (Amber)

MISO utilities — Entergy, Ameren, and MidAmerican among them — occupy the middle band. Blended rates are moderate, and interconnection queue timelines typically run four to five years. These territories offer solid value for projects that can tolerate longer development cycles, particularly as MISO’s Long Range Transmission Planning (Tranche) projects begin to unlock additional headroom in the mid-2020s.

Constrained Quadrant (Red)

ISO-NE territories (Eversource, National Grid — New England), NYISO (Con Edison, National Grid — New York), and CAISO (PG&E, SCE, SDG&E) cluster in the least favorable cell. High blended rates above 12¢/kWh are compounded by interconnection queues extending six years or more. The combination creates a structural disadvantage that is difficult to overcome through operational efficiency or contract negotiation alone.

The geographic pattern is unambiguous: the Central Belt and Gulf Coast offer the strongest power economics for large-load data center development. This aligns with and reinforces the broader state-level tier analysis, demonstrating that the advantage holds at the utility territory level — the unit of analysis that matters most for actual site selection and interconnection negotiations.

Planning Implications

For developers and investors seeking speed-to-power as the primary objective, SPP and ERCOT territories should constitute the core of the prospecting pipeline. The combination of low rates and fast interconnection creates a compounding advantage: lower operating expenses from day one, paired with earlier revenue generation due to shorter development timelines. In a market where hyperscaler demand is accelerating and capacity commitments are time-sensitive, the ability to energize 18 to 24 months ahead of competing sites in constrained regions represents a material competitive edge.

MISO territories offer a viable middle path for capital-patient developers. Blended rates are competitive, and queue performance is improving as MISO’s Long Range Transmission Plan Tranche projects reach completion in the 2026–2028 window. Projects entering the MISO queue today will benefit from this expanded transmission capacity, potentially compressing effective interconnection timelines. The key risk is execution — MISO’s cluster-based study process introduces timing uncertainty that must be modeled into project schedules. PJM territories warrant careful zone-level analysis. Western PJM zones — AEP Ohio and FirstEnergy service areas in particular — offer meaningfully better rate and queue economics than eastern PJM zones such as Dominion Virginia and PEPCO. Treating PJM as a monolithic region masks this internal variation and can lead to suboptimal site selection.

As the structural supply deficit widens through 2030, the markets where scarce new generation can be permitted, interconnected, and energized fastestat the lowest operating costwill command a compounding advantage. Community engagement posture, local permitting timelines, water availability, fiber density, and transmission headroom all factor into ultimate site viability; our companion analyses address these dimensions. Together, they provide a data-driven foundation for identifying and prioritizing the highest-value development opportunities in the US data center power market.

Methodology & Data Sources

  • Energy rate data sourced from public utility tariff schedules and EIA Form 861. Blended rate calculations assume a 600 MW facility operating at an 80% capacity factor, inclusive of demand charges, energy charges, and applicable fuel cost adjustments.
  • GIA speed estimates derived from ISO/RTO interconnection queue reports, reflecting processing times for the 2023–2025 study cohorts. Actual timelines may vary based on project-specific factors, system upgrade requirements, and queue position.
  • Utility territory boundaries based on HIFLD (Homeland Infrastructure Foundation-Level Data) service territory geometries, supplemented by EIA Form 860 generator and plant location data.
  • This analysis is provided for informational purposes only and does not constitute investment advice. Tariff rates, interconnection timelines, and regulatory conditions are subject to change. Readers should conduct independent due diligence before making investment or development decisions.