Seven Things Xcelerate San Antonio Taught Us About North American Energy Planning

The energy system across the Americas is being pulled in several directions at once. Utilities are racing to hit decarbonization targets while keeping the lights on through increasingly unpredictable weather all while load growth, driven by data centers, electrification, and industrial expansion, is outpacing the infrastructure being built to serve it. And planning teams are being handed more complexity, more scenarios, and tighter timelines, usually without more resources to match.

The decisions being made right now will shape the grid for the next 20 to 30 years, and the margin for error is shrinking.

This is what energy modelers, planners, engineers, and leaders gather in San Antonio, at Xcelerate 2026, to talk about and a few key themes rose to the top.

Here’s what the energy industry, across the Americas, is telling us right now.

01. Least-Cost Planning Isn't Enough Anymore

 Today’s planning decisions are driven by reliability, sustainability, affordability, and regulatory compliance and they’re all competing. The best plan has to hold up across all of them, not just win on cost. A portfolio that looks great on paper can carry a hidden reliability risk. One plan that nails resilience might be prohibitively expensive. Finding a plan that's balanced and defensible requires comparing many plausible futures, not optimizing for one. 

02. Data Center Load is Rewriting the Demand Forecast 

 The scale of incoming data center load is hard to overstate, but the challenge is not only how much load gets connected. It is also how that load behaves once it is on the system. Traditional demand often peaks during the day and falls overnight. Large data centers, especially AI-oriented facilities, can look much flatter, adding significant demand in hours that historically carried more headroom. That changes the planning question from “how high does the peak get?” to “how does the entire hourly load shape change?” 

03. If Your Modeling Doesn't Capture Extremes, You're Missing the Point

 There was a strong message about weather events and the scenarios that expose the most risk sit furthest outside historical norms. When generation outages and demand spikes hit simultaneously, transmission upgrades alone can't compensate for an underlying adequacy gap. Newer planning frameworks like FERC Order 1920 are pushing the industry to move beyond normalized weather assumptions for good reason. Some of the worst outcomes only appear when you actually model the grid under genuine stress. 

04. Planning Horizons Are Getting Longer, and More Interconnected 

 Short-term planning isn't enough when major transmission infrastructure takes over a decade to permit and build. The industry is being pushed toward 20-year horizons that require holding together load growth trajectories, technology cost curves, state-level policy targets, and resource adequacy contributions all at once. Generation and transmission decisions can't be made in isolation either. Building generation without accounting for transmission leaves capacity stranded. Co-optimizing both over a long horizon is genuinely hard, but it's increasingly the standard the industry is being held to. 

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05. Validation Is the Discipline the Industry Needs to Take More Seriously 

 There's a meaningful difference between a model that runs and one that's actually right. Validation, checking whether outputs reflect operational reality and whether system needs are genuinely being met, is distinct from verification. And in a planning environment full of rapidly shifting inputs, it matters more than ever. Back-casting exercises have shown that even well-established resource adequacy assessments can miss significantly when weather or demand behaves differently than expected. If inputs aren't regularly validated against real-world data, model outputs drift from reality over time, sometimes quietly, sometimes expensively.

06. Automation and AI Are Changing How Modeling Teams Work 

 Modeling teams are being asked to deliver more, across more scenarios, against tighter timelines, without proportional headcount growth. The answer emerging across the industry is smarter workflows. API-driven automation is enabling teams to run large-scale scenario analyses programmatically and compare portfolios across competing objectives without drowning in manual steps. AI is increasingly playing a supporting role, surfacing patterns and accelerating interpretation. The goal isn't to replace modeler expertise. It's to remove the repetitive work that gets in the way of it. 

07. Fuel Deliverability is Becoming Part of the Planning Problem 

Power system models have traditionally treated fuel as an input: generators are dispatched based on the price of natural gas, with the assumption that it's available when needed. By co-optimizing the gas and electricity networks together, models show pipeline constraints, competing end-use demand, and seasonal gas availability can materially change dispatch decisions, wholesale prices, and system outcomes. Rather than assuming fuel is always available, system planners need to evaluate what happens when the gas network becomes constrained. As the industry continues to rely on natural gas for system reliability, understanding fuel deliverability alongside electricity operations is becoming an increasingly important part of long-term planning.

Better Decisions Start with Better Modeling

The conversations in San Antonio weren't abstract. These are live planning challenges, with real infrastructure decisions, real budgets, and real reliability consequences attached to them. North American planners are dealing with PJM-scale load forecast changes from data centers, fuel deliverability and gas-electric coordination questions, Order 1920-driven long-term transmission planning, and extreme weather stress-testing.

Planning teams are facing more complexity, more scenarios, tighter timelines, and limited resources. Energy Exemplar’s PLEXOS® Platform was built to help teams model complexity, scale scenario analysis, automate workflows, and interpret results faster.

Whether it's running stochastic analysis across hundreds of scenarios, co-optimizing generation and transmission at a regional level, or validating capacity expansion results against historical data, PLEXOS® gives planning teams the analytical depth to operate confidently in a world where uncertainty isn't the exception, it's the baseline.

Confident Decisions Start with Better Modeling  

 From minimum demand events to storage sizing, PLEXOS®  gives planners the clarity to act on what the data tells them.