PJM launches annual review of large load requests for 2027 forecast

Solmar Insights

PJM has initiated its yearly evaluation process for proposed Large Load adjustments, an essential input to its 2027 Long-Term Load Forecast. This process, occurring amid heightened regional power demand largely due to data center growth, now incorporates tightened guidelines emphasizing the likelihood that projects will actually reach completion.

Key figures

12 utilities presented load adjustment proposals
2027 publication of updated Long-Term Load Forecast
First-time engagement of Charles River Associates as independent consultant

Annual load review mechanics

PJM does not operate a load interconnection queue for large power users. Instead, the process depends on Load Serving Entities (LSEs) to submit proposed Large Load adjustments for integration into the Long-Term Load Forecast. The annual review entails utilities furnishing project details to PJM’s Load Analysis Subcommittee, specifying project status, contract certainty, and whether any load is accounted for in other regional requests. This year, 12 utilities, including Dominion Energy, NOVEC, Rappahannock, ODEC, PPL, AEP, Duquesne, FirstEnergy, Exelon, AES, Duke, and PSEG, outlined their prospective high-load customer projects.

Utilities are now required to provide more granular information, a change designed to parse “firm” near-term commitments like Electric Service Obligations or Construction Commitments from less certain, longer-term projections. This standardized, more transparent framework is intended to assist PJM and market participants in distinguishing between actionable and speculative demand growth when planning transmission and generation assets.

Data center and digital demand drivers

The rapid escalation in electricity demand across the PJM footprint is being propelled principally by the expansion of data centers and other energy-intensive digital infrastructure. These entities increasingly dominate load growth discussions and capital planning for transmission and generation build-outs across mid-Atlantic and Midwest territories. Their demand trajectories can be volatile and are subject to changes influenced by technological shifts such as AI adoption, market entry by hyperscalers, and requirements for high uptime power.

This year’s review process signifies a more rigorous approach to sizing and timing new demand. The outcome will influence whether new substations, circuit expansions, and additional generation resources are justified for specific subregions. For developers, investors, and equipment suppliers wagering on digital infrastructure, the signal from PJM’s annual process is crucial for gauging which projects are likely to achieve financial close and interconnection by 2027 or shortly thereafter.

Independent demand analysis steps up

In a new development, PJM has brought on Charles River Associates (CRA) as an independent consultant to deliver an outside-in perspective on data center load trends. CRA’s mandate includes assessment of growth factors both within and beyond PJM’s territory, scrutinizing the adoption rates of artificial intelligence, potential operational and supply chain constraints, and broader digital economy influences that could alter the trajectory of load growth in coming years.

The consultant’s findings, due for presentation in October, are expected to inform PJM’s methodology for weighting individual load adjustment requests, particularly in balancing declared utility projections against plausible development timelines and material constraints. By injecting a third-party view into the established review process, PJM aims to enhance the credibility and transparency of its demand forecasts for all regional energy market participants.

Tighter guidelines and process changes

PJM’s 2026 updates to its load forecast adjustment guidelines established clearer standards for LSE submissions. Key refinements introduced this cycle include a new standardized request template and requirements for utilities to seek input from their Relevant Electric Retail Regulatory Authorities. Utilities also must verify with customers that submitted load requests are not replicated elsewhere to prevent double-counting in the forecast.

Under the revised guidelines, only load requests backed by clear contractual or construction commitments are regarded as “firm” in the near term, reflecting a practical assessment of which projects will enter commercial operation within the forecast window. This approach reduces the risk of overestimating demand, which could result in unnecessary infrastructure expenditures or stranded assets. The process also provides greater clarity to market observers, helping buyers and capacity developers allocate resources to projects most likely to materialize.

Next milestones and market implications

Over the coming weeks, PJM will assess submissions from the 12 utilities alongside CRA’s independent data center demand study. By November, PJM expects to reveal its integration method for these submissions and external insights, culminating in publication of the final 2027 Long-Term Load Forecast in January.

The trajectory and composition of this load forecast have implications for power plant developers, transmission investors, and hyperscale operators planning for new data center capacity in the region. The clarity provided on which high-load projects are likely to reach completion will enable institutional buyers and infrastructure sponsors to more effectively align capital commitments with actionable market signals from PJM’s transmission planning cycle.

What this means for buyers

Data center capacity and power infrastructure in the PJM region are directly affected by the annual review process. The engagement of Charles River Associates and tightened submission protocols this year signal greater scrutiny of project certainty in PJM’s 2027 forecast. Buyers should reassess assumptions on which new load will be considered “firm” in resource planning and prioritize sites with clear, near-term service obligations as the forecast settles in January.

Reporting via the original publisher

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