In this guide, we break down how transmission planning models are used for data center site selection and generation interconnection, detail key regional model standards (MMWG, MTEP, SSWG, RTEP), and present a comprehensive directory of the 189 transmission planning models integrated directly into LandGate's vertical intelligence software and AI Data Agent.

Utilities across the country are sitting on more than 1,000 gigawatts of data center interconnection requests, roughly 83% of all existing U.S. utility-scale generation capacity. According to new Wood Mackenzie analysis reported by Bloomberg, utilities will realistically commit to only about 28% of that figure. Rapidan Energy Group puts the number even lower: 20 to 30%. In other words, most of the power data center developers say they need does not exist, and never will. Ther

At a specific bus in southern Dallas County, the ERCOT 2025 planning model shows approximately 915.8 MW of Available Transfer Capability for generation injection — and 0 MW for additional load. LandGate's project database maps a 550 MW planned hyperscale data center development to that same node. Half a gigawatt of demand is queued for a location the planning model shows cannot currently take it. The regional ERCOT local forecast shows steady demand growth across North Texas

Land scarcity has become the binding constraint on energy and data center development, yet lease encumbrance remains one of the least systematically underwritten risks in the site selection process. Teams model interconnection queues, transmission proximity, and permitting timelines with real rigor. Fewer apply the same discipline to a more basic question: what is already recorded against this parcel, and by whom. Recorded lease data, originating with Topos and now available

Inside the site behind Kentucky's new AI and power campus, and what the underlying data shows The U.S. Department of Energy (DOE) has picked its Paducah Site, a nearly 3,400-acre former uranium enrichment complex in McCracken County, Kentucky, as the anchor for what officials are calling a more than $100 billion private investment in artificial intelligence and high-performance computing. The announcement, made in late July 2026, pairs a data center campus with dedicated powe