Virginia’s electricity sales are rising. What does that say about peak load?

The decision: Virginia’s increase in commercial electricity sales is evidence of greater energy delivered to customers. It is not, by itself, a measurement of the highest load the grid must serve at a particular moment. A decision to change a peak-load forecast needs evidence about peaks, not just annual sales. That distinction follows from the two measures EIA describes: sales are delivered energy, while peak load is a maximum measured in megawatts. EIA [L013]–[L015]

What EIA reports about Virginia

EIA says Virginia’s commercial electricity sales increased by nearly 30.0 million megawatthours (MWh) between 2019 and 2025. It describes that increase as faster than in every other state except Texas. EIA attributes the growth largely to a concentration of data centers, while also naming electric-vehicle adoption and building electrification as contributors. These are EIA’s account of the drivers, not a numerical breakdown of how much each contributed. EIA [L008]–[L012]

The excerpt identifies EIA-861, the Annual Electric Power Industry Report, and EIA-861M, the Monthly Electric Power Industry Report, with 2025 data marked preliminary. That qualification matters when using the reported change: the excerpt supplies the nearly 30.0 million MWh increase, but not the two underlying annual sales totals or a driver-by-driver calculation. Those missing details cannot be reconstructed from the supplied text. EIA [L003]–[L012]

Why sales do not answer the peak question

EIA defines electricity sales as energy delivered by load-serving entities—mostly utilities—to final consumers. Peak load answers a different question: what was the maximum load, in MW, at a point in a day, month or season? EIA notes that such a peak can last only 15 minutes. A sales increase therefore establishes a change in energy delivered over the comparison period; it does not specify when customers used that energy or how high the maximum load became. The final sentence is an inference from EIA’s definitions, not a separate EIA estimate of Virginia’s peak. EIA [L013]–[L015]

EIA also explains why a utility cannot ignore peaks even as overall energy needs grow: load-serving entities need resources and reserves to respond to hourly, daily and seasonal demand spikes, including against a backdrop of extreme weather. That makes annual sales and peak load complementary evidence for planning, rather than interchangeable units for a forecast. The planning conclusion is an inference; EIA’s description of the operational challenge is the source fact. EIA [L013]–[L015]

The separate peak evidence—and its boundary

The excerpt does provide peak observations, but for PJM’s Dominion zone, not a statewide Virginia commercial-sales series. It reports a summer peak of 23,905 MW in 2025, 23% above 2019, and a winter peak of 25,413 MW in the 2025–26 season, 45% above the 2019–20 winter season. EIA also says that, of the zone’s top 50 peak hourly loads from 2019 through 2025, 15 occurred in 2024 and 32 in 2025. These observations independently point to rising peaks in that zone; they should not be relabeled as Virginia commercial sales or used as though their geography, customer scope and time periods matched the sales comparison exactly. The scope caution is an editorial inference from the measures EIA identifies. EIA [L030]–[L034]

EIA reports a forecast as well: PJM expects the Dominion zone’s summer peak load to grow by an average of 5.4% a year over the next ten years, down from the 6.3% projected in PJM’s 2025 forecast. That is a forecast, not an observed consequence calculated from Virginia’s commercial-sales increase. EIA [L030]

How to use this evidence: Treat the sales increase as a reason to investigate a peak-load forecast, and the Dominion peak observations as relevant but differently scoped evidence. Do not translate the nearly 30.0 million MWh sales increase into a new MW peak without an analysis of when the added demand occurs and which customers and geography the forecast covers. That is a decision rule inferred from the distinction EIA draws, not a conversion supplied by EIA. The supplied excerpt does not provide the underlying sales totals, a quantified allocation among demand drivers, or such a conversion. EIA [L008]–[L015], [L030]–[L034]