Summer Load Volatility Demands a New Approach to Operations

Summer planning used to be about preparing for the hottest day of the year. Today, utilities are preparing for rapid changes in electricity demand driven by extreme weather, changing customer behavior, renewable generation, and new large industrial loads.

What Is Summer Load Volatility?

Summer load volatility refers to rapid changes in electricity demand driven by prolonged heat, warm overnight temperatures, humidity, severe storms, changing customer consumption patterns, and the growing influence of renewable generation and large industrial loads.

Beyond typical hot days, electricity demand is becoming less consistent than in years past. At the same time, new patterns of electricity consumption don’t always behave like traditional loads. Previous assumptions about summer peak demand no longer apply.

The New Normal Is About Extremes and Volatility

Recent events in the Midcontinent Independent System Operator region illustrate this complexity. During a recent heat wave, the grid operator declared an energy emergency alert while managing transmission constraints that prevented thousands of megawatts of available generation from reaching where it was needed most. The issue was bigger than simply generating enough electricity and involved managing an increasingly dynamic grid operating environment.

Utilities are approaching warmer weather with more generating capacity than in recent years, and overall grid reliability remains encouraging, but that doesn’t necessarily make utility operations simpler.

More of today’s generating capacity comes from resources whose output varies with weather conditions or time of day, such as solar power. At the same time, utilities continue to contend with prolonged heat, localized severe storms, rapidly evolving electricity demand, growing electricity consumption from large industrial customers, and wildfires. Together, these factors are increasing summer load volatility across the grid.

Summer weather rarely presents a single operational challenge. Wildfires, for example, can threaten electric infrastructure while simultaneously disrupting other critical services, as demonstrated by the recent Aspen Acres wildfire in Colorado, which severely damaged water systems and complicated restoration efforts.

Individually, none of these factors are new. Together, they create a more dynamic environment in which utilities must make better decisions faster. Weather intelligence and operational context help utilities understand how these changing conditions may affect grid operations before they become disruptions.

The question utilities increasingly ask isn’t, “How hot will tomorrow be?” but “What will tomorrow’s weather mean for our system?”

Not Every Hot Summer Day Is the Same

One of the biggest misconceptions about electric utility operations during the summer is that electricity demand is driven primarily by daytime high temperatures. In reality, utilities know it’s not just about how hot it gets, but when the heat occurs, how long it persists, how warm it remains at night, and how those conditions interact with customer demand to determine electricity demand and grid operations.

For example, a 95-degree afternoon following several cool nights produces a very different demand profile than the same temperature after a week of sustained heat. High humidity can increase cooling demand well beyond what the thermometer alone suggests. Warm overnight lows prevent homes, businesses, transformers, and other infrastructure from shedding accumulated heat, causing stress to build over multiple days rather than resetting each evening.

Renewable generation may also change throughout the day while customer demand continues to evolve, creating additional planning considerations for utilities.

These differences matter because utility operations are influenced not only by the forecast itself but also by how weather conditions evolve and interact with the grid.

The question utilities increasingly ask isn’t, “How hot will tomorrow be?” but “What will tomorrow’s weather mean for our system?”; Answering that question requires weather intelligence that connects forecasts with operational impacts, not just weather conditions.

Weather Is Only Part of the Picture

Historical electricity demand patterns, outage history, vegetation management records, asset performance, and customer demand trends provide the context utilities need to understand not just what the weather will do, but what it’s likely to mean for their systems. This combination helps operators anticipate where demand may increase, which assets may experience additional stress, and when operational adjustments should be made.

Utilities must continually evaluate:

• whether maintenance should proceed as scheduled
• where crews should be staged
• whether contractors should be mobilized
• how renewable generation may fluctuate throughout the day
• when changing conditions warrant proactive communication with customers

Adding to that complexity is the rapid growth of large, energy-intensive customers. AI data centers, advanced manufacturing facilities, and other large industrial loads are introducing new electricity demand patterns that behave differently from traditional customer loads. Together, these factors require utilities to make informed operational decisions throughout the day, not just when severe weather is forecast.

This is where weather intelligence provides the operational context needed to anticipate weather impacts before they affect reliability, field operations, and customer service.

The challenge is becoming less about having enough capacity and more about making informed operational decisions as conditions change.

From Weather Forecasts to Operational Decisions

Most utilities already have access to accurate weather forecasts, but the real challenge isn’t obtaining more weather information — it’s turning that information into better operational decisions.

As utilities continue to invest in digital transformation, weather is becoming one of many data streams that inform decisions throughout the day rather than a standalone forecast consulted each morning.

DTN Weather Hub reflects this shift by helping utilities connect weather intelligence with the operational data they already possess. Rather than simply showing what the weather will do, it provides greater context around changing conditions and helps organizations anticipate and make more informed decisions about weather impacts before they become disruptions.

The utilities best positioned to navigate summer load volatility combine weather intelligence with insight to make faster, more informed decisions before volatility becomes disruption.

Ready to Improve Summer Operations?

See how DTN Weather Hub for Utilities helps organizations anticipate weather impacts before they become operational disruptions.

Explore DTN Weather Hub