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AEP Ohio (Ohio Power Company) — Data-center interconnection queue and load-study dataset: site-level prospective MW requests, cluster assignment, regional transmission upgrade requirements, per-project local service plans, estimated in-service dates through 2033, queue-position and contract-execution status, and contribution-in-aid-of-construction / collateral terms — aggregated across a 36-site, 13,022.7 MW application pool. Large — roughly 1,600 staff and about 3.9B revenue utility holding a site-level view of over 13 GW of requested data-center load concentrated in one of the highest-growt…
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Data-center interconnection queue and load-study dataset: site-level prospective MW requests, cluster assignment, regional transmission upgrade requirements, per-project local service plans, estimated in-service dates through 2033, queue-position and contract-execution status, and contribution-in-aid-of-construction / collateral terms — aggregated across a 36-site, 13,022.7 MW application pool
Scale 36 formal load studies totalling 13From 2 yearsCoverage Utilities
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AEP Ohio (Ohio Power Company) — Data-center interconnection queue and load-study dataset: site-level prospective MW requests, cluster assignment, regional transmission upgrade requirements, per-project local service plans, estimated in-service dates through 2033, queue-position and contract-execution status, and contribution-in-aid-of-construction / collateral terms — aggregated across a 36-site, 13,022.7 MW application pool. Large — roughly 1,600 staff and about 3.9B revenue utility holding a site-level view of over 13 GW of requested data-center load concentrated in one of the highest-growt…
Aepohio offers (Alternative, Supply Chain, Geospatial) — 36 formal load studies totalling 13,022.7 MW (32 sites, 9,807.7 MW inside Central Ohio) for the 2025 cycle, each study producing a local service plan plus regional upgrade assessment and a load forecast through 2033 — so roughly 36 site records per cycle with multi-year forecast series each, growing as subsequent 45-day intake windows open.
Forecasting data-center power demand and siting feasibility by substation cluster, transmission and generation capex modelling, PJM capacity-market and resource-adequacy planning, utility revenue-at-risk modelling from queue attrition, alternative-data signal on hyperscaler and colocation capital deployment, and training models that separate speculative from bankable project applications
The data is with 2 years of history.
Coverage spans US; Electric Utilities; alternative, supply_chain, geospatial; equities.
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