Forecast

Noreva long-term forecasting is also available for the other elements of the energy revenue stack, and is used by developers, investors, banks and trading firms.

With traditional power forecasting challenged by the dynamic conditions of renewed demand growth and the historic capital allocations to data center energy infrastructure, Noreva’s trade-aligned and AI-enhanced price forecasting methodologies are actionable across every part of the power business.

Capacity pricing, an increasingly important consideration in many US power markets, is available across all organized RTOs at unprecedented duration. Noreva’s proprietary trading view and rapid-response modeling techniques have been used to support long-term capacity risk management and project financing, and are available on both a subscription and a custom basis.

Price forecasts are available in multiple units and at multiple levels of market activity, from annualized across an RTO or geography to hourly dispatch at individual zones and nodes.

Noreva provides bankable merchant curve forecasts for every major renewable energy credit (REC) market as part of its full-stack energy revenue solution.

Traditional merchant curve methodologies are entirely fundamentals-based and are primarily geared to public data sources that are often lagging or subject to revisions. Noreva’s curves originate in a supply and demand view that aggregates multiple sources and proprietary databases accrued over a 15 year history as Karbone Research.

In an increasingly volatile and dynamic market for environmental attributes, Noreva is uniquely able to reflect in its REC modeling the impact of policy shifts and rule changes, relying on a deep and comprehensive proprietary trade data view.

Across compliance and voluntary RECs markets, Noreva’s unique approach results in core cases and data streams for client use. AI-enhanced tools provide options for rapid customizations and instant market-responsive insight.