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 of regulatory filings as they post. 13 jurisdictions tracked live. A second product (Atlas) adds infrastructure siting analytics for large-load and data center development, and a research layer publishes original regulatory analysis such as PJM reliability-backstop adder quantification.

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Coverage

Universe, instruments and categories.

Industry: Financial Exchanges & DataElectric Utilities
Instruments: equitiesfixed_incomecommodities

Dataset card

Type: not stated
Format: Tabular — long-horizon forecast curves delivered Excel-ready for underwriting models, plus historical rate series, rider-level detail, capacity auction scenario tables, and narrative research publications. Sold by utility, by bundle, or by subscription, with a named SKU for the core product.
Volume: 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.
Users: No signup mechanism — product is sold by utility, bundle or subscription through a manual 'request a forecast' inquiry, so no registered-user count exists. Bounded estimate: tens of institutional subscribers (solar finance teams, developers, infrastructure funds, utilities), inferred from a 3-person team and a hand-sold enterprise motion.
History: 3 years
Update frequency: not stated
Growth: Active — original research published May 2026 with current-quarter data (a PJM backstop adder analysis carrying May 2026 figures for BGE allocation and adder level), forecasts described as continuously updated as filings post, 13 jurisdictions live, and a second product (Atlas siting analytics) added alongside the core RateBook line.
Launched: ~2023-2024 — the organization record dates to late 2024 for the Washington entity and the product is presented as a single mature SKU with a second product recently added, indicating a launch within the last few years rather than a long-established line.
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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