When Hurricane Beryl tore through Texas in 2024, utilities across the Gulf Coast were reminded of a hard truth: regional energy infrastructure isn’t immune to extreme weather. Over the next year, many of those same utilities found themselves learning this lesson repeatedly as they faced evolving tests, including winter volatility, prolonged heat and shifting wind patterns.
For executives and the on-the-ground teams at these companies, two things have become increasingly clear:
1. Weather is no longer an episodic threat. It’s a daily operational variable.
2. It’s not just extreme weather that affects utilities. Everyday climate events, such as prolonged heat, particularly strong or weak winds, and even an inch more precipitation than anticipated, can also have an outsized impact on energy production, demand, storage, alternative energy needs and pricing.
While no energy provider is completely immune to the effects of weather on their operations, utilities like Houston’s CenterPoint Energy are creating a new blueprint for getting ahead of these events and significantly reducing impact as a result.
The first step in doing that is shifting the question away from the reactive (“How do we respond to weather?”) and toward the proactive (“How do we factor weather into the way we operate?”)
Utilities have traditionally had from one to a handful of operators on staff who monitor weather events. They’ve primarily focused on extreme or major weather events like hurricanes and applied what they’ve learned to emergency management, rather than overall operations.
This is now changing.
Many utilities are expanding the role of meteorology beyond storm briefings and embedding it into broader operational planning. As a result, weather discussions are making their way into operations meetings, infrastructure planning and risk reviews.
After Hurricane Beryl, for example, CenterPoint Energy expanded its internal weather operations by bringing on two staff meteorologists who now use a suite of tools to regularly translate upcoming weather events into clear operational recommendations across the company. This transforms the traditional meteorology role beyond simply delivering daily weather forecasts–which were previously seen as nonessential data–to actively informing the C-suite down to response crews on the ways that minor and major weather events are likely to impact on their daily work.
When utilities remove weather from its historic silos, energy providers stop asking “What’s the weather today?” and start asking “What does the upcoming forecast mean for our production, consumer demand, crews, assets and restoration timelines?” This distinction matters.
Utilities and grid operators have historically operated on general estimated forecasts for their overall region, which only gave them the information they need to take big-picture precautions.
Now, companies are going far more granular to understand the local and moment-to-moment weather conditions that influence their direct grid footprints and energy production.
Gaining street-level visibility like this requires more than publicly available weather data. It calls for an entire “weather tech stack” that consists of supplemental data from one or several more private sources. Another layer in these stacks is technology that can process massive amounts of data and understand the direct implications of upcoming weather events on a company’s operations.
In addition to forecasts generated by NEXRAD’s government-operated radars, for instance, utilities are partnering with private companies that track weather conditions in radar gaps–or blind spots–that exist between government radar stations, as well to gain visibility into atmospheric levels where storms and other weather events form. This might include sourcing data from private radar networks, drones, satellites–and sometimes even the utility's own ground-based weather sensors.
Together, these sources create a dynamic feedback loop that utilities need to be able to quickly process and analyze. All data sources feed into a centralized repository that is read and synthesized by constantly evolving software models, creating a closed-loop system for real-time weather intelligence.
This approach lets utility operators anticipate power restoration risks with greater precision and position crews based on forecasted storm severity at the neighborhood level. But these hyper-local observations aren’t just valuable in a crisis, they are foundational to day-to-day grid optimization, helping to refine load forecasting, renewable generation planning, and maintenance scheduling around subtle but significant weather shifts.
American energy grids remain vulnerable to any shifts in the weather, and simply knowing when they happen isn’t enough to keep the power on for customers.
In addition to dedicated teams of cross-functional weather scientists, utilities can also create weather tech stacks that integrate new forecasting tools – like AI-enhanced weather modelling software that can predict patterns anywhere from one day to three months in advance.
Then, as they understand how certain shifts will impact their operations and grid safety, they can institute predefined operational triggers. For example, certain wind thresholds may prompt early crew staging or projected storm severity might trigger Emergency Operations Center activation before the first outage report even comes in.
In one recent case, Oncor Electric Delivery, which manages power for millions of households across North and Central Texas, used advanced predictive weather modeling to understand how wind gusts from an incoming thunderstorm would impact their region. By identifying the risks several days in advance, they were able to preemptively dispatch response crews to at-risk areas and ultimately restore power for over 300k affected customers in unprecedented time.
This shift — from reacting to confirmed damage to preparing for forecasted risk — is becoming foundational to grid resilience.
Historic weather patterns are no longer hyper-accurate predictors for tomorrow’s forecast and the days of set, three-month storm seasons are on their way out.
Now, utility companies must pay attention to the quieter shifts in weather that are shaping their operations every day.
For example, a few extra days of unexpected heat at the end of summer can extend peak cooling demand longer than expected. Slightly lower sustained wind speeds can also affect renewable generation in wind-heavy markets.
In terms of alternative energy generation, reduced precipitation can constrain hydropower and even small temperature deviations can ripple through natural gas markets.
For states like Texas, where wind power regularly supplements traditional energy sources, these minuscule decreases in wind speeds can be guaranteed to impact output levels for weeks.
These shifts aren’t once-in-a-decade events. They’re incremental adjustments that accumulate operational consequences. That’s why operationalizing weather also means acknowledging that a three-degree deviation or a marginal wind shift can carry significant financial and reliability implications.
The grid has always been influenced by weather. What’s changing now is how deliberately utilities are choosing to integrate that influence into their operational DNA.
Consistency and predictability become harder as historic climate patterns change. But, by integrating weather data across all teams and taking a more granular look at how all shifts – and not just major storms – impact customers, energy providers can ensure continued grid resilience and optimal safety measures.
The result of this long-term approach to weather won’t be a storm-proof grid.
It will be a storm-ready operation.
Chris Goode is the Founder and CEO of Climavision, where he leads the only comprehensive supplemental radar network in the United States and a suite of high-resolution forecasting technologies that improve decision-making in energy and utility operations. With more than 30 years of weather industry experience, he has guided the company’s rapid expansion since its 2021 launch with backing from TPG’s The Rise Fund. An Air Force Weather veteran and former executive at The Weather Channel Companies, AirDat, and Enterprise Electronics Corporation, Chris brings deep operational expertise to advancing real-time weather intelligence for grid resilience, energy trading, and other weather-sensitive sectors.
