Sitara Energy

Sitara Energy — Forward retail electricity rate forecasts built from component-level tariff decomposition — each utility tariff parsed into its constituent layers (generation, capacity, transmission and distribution, and riders) rather than a single blended escalation rate, then projected forward as long-horizon curves. Includes tariff rider detail and historical rate data, wholesale ISO/RTO market signals embedded into the retail forecasts (PJM, NYISO, ISO-NE, MISO), forward capacity auction expectations with BRA forecasts and zone-level scenario analytics, and continuously updated ingestion…

Sitara Energy offers (Alternative, Price, Fundamental) — Small and dense: 13 jurisdictions tracked live, with coverage structured per utility, rate class/bundle, and rider. Each jurisdiction contains multiple utilities each carrying dozens of rate classes and active riders, so the structured store plausibly spans thousands of forecast series (utility x rate class x cost layer x horizon), plus the historical rate series behind them and capacity auction scenario tables by zone. Rows are few; the derivation effort per row — reading and layer-classifying a real tariff sheet — is where the volume of work sits..

Community solar and distributed generation project finance underwriting where the revenue model depends on retail rate escalation over 15-25 years; acquisition and portfolio M&A diligence; re-contracting decisions; investment-committee review requiring lender-defensible assumptions; battery and behind-the-meter economics where savings arbitrage retail rate layers against wholesale prices; data center and large-load electricity-cost forecasting; capacity-revenue risk modeling for generators; and — the less obvious use — a labeled corpus pairing original tariff documents with expert layer-attribution decisions and subsequent actual rate outcomes, which is a strong supervised training set for document-structuring models and a ground-truth panel for retail-rate time-series forecasting.

The data is with 3 years of history.