Energy
Siting and planning questions combine market prices, load, interconnection queues and infrastructure data, each in its own format and refresh cycle. DF1 builds models that hold these together, state their assumptions and let your team run scenarios.
Directors of market analytics, development leads and planning engineers at developers, IPPs, utility planning teams, data-center siting teams and consultancies.
Zones or nodes ranked by price volatility, congestion and exposure, re-ranked as load and supply assumptions move.
Queue positions, withdrawal rates and timing, with relief counted at a discount rather than at face value.
Price volatility modeled from load and system conditions, validated on held-out periods.
Forecasts that separate weather, growth and large new loads such as data centers.
Questions over tariffs, orders and filings, answered with the cited passage.
Energy engagements start with a Discovery Sprint on one siting or market question, in the ComputePower pattern, on public data plus whatever internal data you add.
Discovery Sprint: two weeks, $4,900 fixed. Credited in full against a Build that starts within 60 days.
Market, load and queue data are public in most regions; the value is in method and reproducibility.
Inputs, periods and parameters stored with each run, so a result can be rebuilt and defended.
Screening models are labeled as screens; they do not replace production cost or power flow studies.
Decision Models
LiveRanks all 21 PJM zones by grid vulnerability as data center load grows, with three methods that check each other.
Document Intelligence
LiveAnswers questions over statutes and contracts with the source passage for every claim, and declines when the text does not support an answer.
Data Platform
LiveA migration verified by source-to-target parity tests, and a map of more than 35,000 seller-to-buyer trade routes.
ComputePower covers PJM. The same methods apply to other ISOs and RTOs with public hourly data; the Discovery Sprint confirms data availability.
No. It narrows attention across many options quickly, so the expensive studies run on the right few.
Yes. Internal load, project or cost data can be joined to the public sources, and stays in your environment if required.
On a schedule set by how fast each source changes, with the last refresh date shown in the application.
Describe the process and the data. A reply comes within one business day, from the person who would do the work.