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PJM on the Verge of Back-to-Back May Load Records

Load running well above the May mean, peaks clustering in the evening ramp, and Data Center Alley nodes clearing above $2,000/MWh

PJMLoad RecordsCongestionElectronX · May 2026

PJM is on the verge of setting back-to-back all-time May load records, and we're only about halfway through the month.

Consider the following:

  • 18 May peaks at 134 GW; 19 May pushes to 135 GW — ranking third and second respectively for all-time May daily peaks, behind only the historic 140 GW day on 31 May 2022.
  • Daily averages of roughly 107–111 GW are running 40–50% above the historical May mean.
  • Both days are tracking well outside the 90th percentile of historical May loads.
  • Peaks are clustering in the 17:00–18:00 window as solar drops off and cooling demand surges — exactly where hourly granularity matters most.
  • Seasonally driven outages, despite PJM's Hot Weather Alerts, make this especially ripe for significant volatility.

The recent day-ahead clears reflected exactly that:

  • Zonal peak LMPs in Dominion and BGE cleared over $900/MWh for 18 May, with Dominion breaking through $1,000/MWh on 19 May, driven heavily by congestion.
  • Dominion's forecast peak load is exceeding internal scheduled capacity by nearly 5 GW.
  • Almost all nodes in Data Center Alley saw DA clears surpass $2,000/MWh for HE17 on 18 and 19 May, as multiple constraints bound simultaneously.
Chart of PJM May load approaching all-time records

Looking ahead to 20 May, PJM has issued a Hot Weather Alert for the South and Mid-Atlantic. Thunderstorms are expected, leading a cold front into the I-95 corridor — but if it arrives late, afternoon cooling load keeps building while western parts of the RTO cool off. That roughly 40°F temperature gradient sets up significant east-west congestion dynamics and continued pressure on the Western Hub / N Illinois spread.

Chart of the east-west temperature gradient across the PJM footprint

We're watching these load forecasts, congestion patterns, and price signals closely. This is exactly the kind of volatile, high-stakes environment where real-time intelligence and hourly granularity matter.