American households face a summer of rising cooling costs just as federal forecasters project temperatures well above normal across most of the country. The Energy Information Administration has signaled that typical residential electricity bills could be slightly higher this summer, driven by a combination of increased cooling demand and retail electricity prices. With 13.4 million residential electricity disconnections already recorded in 2024, the affordability squeeze is tightening at the worst possible time.
Federal Heat Forecasts and Rising Bills Collide This Summer
The Climate Prediction Center’s June-July-August 2026 temperature outlook favors above-normal temperatures across much of the West, Great Plains, Lower Mississippi Valley and East, with highest confidence in the Pacific Northwest. That forecast sits against a recent baseline that includes the hottest May-through-September period ever recorded in the United States, documented by the CDC in its Morbidity and Mortality Weekly Report covering 2023 heat-related emergency department visits.
Hotter days translate directly into higher electricity consumption through a metric called cooling degree days, which the CPC tracks across May through September. The agency’s broader suite of seasonal outlooks shows persistent warmth probabilities stretching across multiple overlapping three‑month periods, suggesting that the 2026 cooling season will not just feature brief spikes but sustained heat. The EIA uses those cooling‑degree‑day totals alongside retail electricity prices to model what a typical household will pay. When both inputs rise together, bills climb faster than either factor alone would suggest. The EIA’s own framework explains how generation, transmission and distribution costs all feed into the final charge on a customer’s bill, and each of those components has been trending upward.
The practical result: households that already struggled to keep current on utility payments now face a summer where running air conditioning costs more per hour, and they will need to run it more hours per day. Regions flagged by the CPC for the strongest above‑normal temperature probabilities, particularly the Pacific Northwest, parts of the Great Plains and the Lower Mississippi Valley, sit at the intersection of high projected heat and, in many cases, aging grid infrastructure that limits supply‑side relief. For utilities, that means balancing reliability and affordability under conditions where both demand and underlying system costs are rising.
Disconnections, Degree Days and the Data Trail
The Energy Information Administration reported 13.4 million residential electricity disconnections in 2024 through its Form EIA‑112 data collection program. That figure represents involuntary service cutoffs, often triggered when customers fall behind on payments. The number alone is striking, but the federal data does not break disconnections down by season or link them to weather events. That gap matters because the hypothesis that extreme heat drives a spike in summer shutoffs, beyond what price increases alone would predict, cannot yet be confirmed or rejected with published federal datasets.
The CPC’s degree‑day outlook framework provides the weather side of the equation, projecting cooling‑degree‑day accumulations for overlapping three‑month windows within the May‑through‑September cooling season. Its operational degree‑day tables translate daily temperatures into standardized measures of cooling demand, which utilities and analysts can compare across years and regions. The EIA’s electricity data browser supplies the price side, tracking retail rates by sector, region and state. But no published federal cross‑tabulation ties specific 2026 cooling‑degree‑day anomalies to regional bill impacts or to disconnection rates. The CDC’s surveillance of heat‑related emergency department visits, which found measurable health consequences during the record 2023 summer, operates in a separate data silo from electricity pricing and disconnection records.
That fragmentation leaves a significant blind spot. If a household in Phoenix or Portland loses power during a heat wave because it could not pay a bill inflated by above‑normal temperatures, the health risk looks very different from a winter shutoff when indoor temperatures fall more slowly and alternative heating options may exist. Yet, in the national statistics, both events are simply logged as disconnections. Without a common framework that links temperature anomalies, cooling‑degree‑day spikes, billing cycles and shutoff decisions, policymakers cannot easily distinguish between routine nonpayment and heat‑driven affordability crises.
Policy Questions Without Clear Answers
The stakes of that blind spot are growing as climate change loads the dice toward hotter summers. State regulators and utility commissions are increasingly pressed to consider seasonal shutoff moratoria, tiered rates that protect a basic level of cooling, or targeted bill credits during prolonged heat waves. But designing those interventions requires granular evidence about when and where disconnections intersect with dangerous temperatures. Existing CPC and EIA tools can outline the contours of risk, yet they stop short of providing the integrated picture needed to evaluate specific protections.
Bridging the gap would likely require new data‑sharing agreements and standardized reporting. Utilities could, for example, be required to flag disconnections that occur on days exceeding locally defined heat thresholds, while public health agencies incorporate electricity status into their surveillance of heat‑related illness. Combined with CPC degree‑day records and EIA billing data, such a system could reveal whether current pricing structures and assistance programs are adequate for a hotter baseline climate.
For now, households are left to navigate the convergence of record‑setting heat and steadily rising electricity costs largely on their own. The federal outlooks and energy statistics point to a summer when cooling is both more necessary and more expensive, but the most vulnerable customers remain statistical abstractions rather than clearly identified populations. Until the data trail connects the dots between temperature, bills and shutoffs, the country will be managing a growing heat‑and‑affordability problem without a full view of who is most at risk when the power goes out.
