Long-Term Power Price Forecasts: Scenario-Based Merchant Curves for US Markets

Scenario-based long-term power, capacity, REC and fuels price forecasts for US markets. Low, base and high merchant curves up to 25 years.

Long-Term Power Price Forecasts: Quick Summary

  • Noreva provides scenario-based long-term price forecasts for US power markets, delivered as low, base, and high cases (often described by traders as bear, base, and bull scenarios)
  • Coverage spans PJM, ERCOT, MISO, CAISO, NYISO, ISO-NE, and SPP, across power (LMP), capacity, environmental attributes, and renewable fuels
  • Horizons run from 1 to 5 year transaction-based forwards through 25-year fundamentals merchant curves, covering the full 10 to 20 year window used in project finance and asset valuation
  • Curves are updated monthly and delivered through API, CSV export, and the Noreva Data Hub
  • Assumptions are transparent and customizable: clients can adjust load growth, retirements, policy pathways, and fuel inputs, then rerun scenarios

Long-term power price forecasts extend price visibility beyond the traded horizon. Liquid forward markets in US power rarely price more than a few years out, yet asset valuations, project financings, PPAs, and portfolio strategies depend on defensible price assumptions running 10, 20, or 25 years into the future. Scenario-based merchant curves close that gap by modeling how supply, demand, policy, and fuel dynamics could evolve under multiple pathways rather than a single fragile point estimate.

Noreva provides institutional-grade long-term price forecasts for every major US power market, built by combining fundamentals modeling with transaction-based market signals. Each forecast ships as a calibrated low, base, and high scenario set, designed for underwriting, valuation, hedging, and board-level strategy.

What Are Scenario-Based (Bull / Base / Bear) Long-Term Forecasts?

A scenario-based long-term forecast expresses future prices as a range of credible pathways instead of one central line. Noreva models three calibrated cases for every market:

  • Low case (bear scenario): weaker demand growth, faster supply entry, softer fuel prices, and policy outcomes that compress margins
  • Base case: Noreva’s central view, anchored in current fundamentals, observed transactions, and enacted policy
  • High case (bull scenario): stronger load growth, tighter supply conditions, delayed entry, and policy pathways that support higher clearing prices

The distinction between forward curves and merchant curves matters here. Forward curves reflect where the market is actually trading today, typically over the first 1 to 5 years. Merchant curves are modeled projections that extend beyond the traded horizon, integrating policy, fundamentals, and scenario analysis. Noreva connects the two into a single continuous curve, so the front of the curve is anchored in real transactions and the long end is grounded in transparent fundamentals modeling. See how this works in detail in How It Works.

Why 10 to 20 Year Wholesale Power Price Forecasts Matter

Most commercial decisions in US power markets settle over horizons far longer than liquid trading. A 10 to 20 year wholesale power price forecast is the core revenue input for:

  • Asset valuation and M&A: merchant revenue assumptions drive discounted cash flow values for generation, storage, and hybrid assets. See asset valuation.
  • Project finance and debt sizing: lenders stress-test DSCR against low-case curves before committing capital
  • PPA, tolling, and offtake structuring: contract pricing is benchmarked against expected merchant value over the contract life
  • Portfolio strategy and budgeting: retirements, repowering, and capital allocation depend on long-dated price views
  • Hedging programs: multi-year hedge ratios are set against modeled price distributions, not just current forwards

The Long-Term Forecast Provider Landscape

Buyers looking for long-term US power price forecasts typically encounter five categories of sources. Each serves a different purpose, and most institutional workflows combine more than one.

Public sources such as the EIA Annual Energy Outlook remain the reference baseline for national trends, and Noreva’s analysts track them closely. What public outlooks do not provide is zonal and locational scenario pricing calibrated to observed transactions, which is the layer valuation and financing decisions actually require.

Provider Categories Compared

Category

What It Provides

Typical Horizon

Limitations for Deal Work

Government outlooks (for example the EIA Annual Energy Outlook)

Free, public, national and regional projections

25+ years

Not zonal or nodal, not scenario-calibrated for underwriting, annual update cycle

ISO and RTO planning studies

Free reliability and planning analysis for one system

10 to 20 years

Built for reliability planning, not merchant revenue modeling

Large multi-commodity research houses

Broad global coverage and macro narratives

20 to 30 years

Regional granularity and scenario customization can be limited at the zonal level

Power analytics software platforms

Short-term nodal forecasting and trading analytics

Hours to a few years

Strong near-term signal, limited long-dated fundamentals modeling

Transaction-calibrated intelligence platforms (Noreva's category)

Scenario merchant curves anchored in observed transactions and fundamentals

Up to 25 years

Focused on US energy transition markets rather than global macro coverage

Noreva’s Long-Term Forecast Coverage

Markets and Commodities

Market

Power (Energy / LMP)

Capacity

Granularity

PJM

Yes

Yes (RTO and LDA level)

Zonal and hub, with locational detail

ERCOT

Yes

Energy-only market (scarcity pricing modeled)

Hub and zonal

MISO

Yes

Yes (seasonal, zonal)

Hub and zonal

CAISO

Yes

Yes (System and Local RA)

Hub and zonal

NYISO

Yes

Yes (NYC, LHV, LI, ROS)

Zonal and locality level

ISO-NE

Yes

Yes (FCM, transitioning design)

System and zonal

SPP

Yes

Yes (seasonal)

Hub and zonal

Beyond power and capacity, the same scenario framework covers environmental attributes (RECs, SRECs, LCFS credits, carbon) and renewable fuels (RINs, RNG, and related markets), so a full asset revenue stack can be modeled from one consistent source. Detailed capacity market coverage by ISO is available on the capacity hub and its market pages, including PJM, NYISO, MISO, ISO-NE, CAISO, and SPP.

Horizons and Outputs

  • 1 to 5 years: transaction-based forward pricing sourced from live broker and market inputs
  • 5 to 25 years: fundamentals-based merchant curves under low, base, and high scenarios, fully covering the 10 to 20 year underwriting window
  • Outputs: monthly and annual price series, scenario spreads, and supporting assumption documentation, delivered in model-ready formats

Methodology: Fundamentals Plus Transactional Insight

Noreva does not extrapolate trends. Every long-term forecast reconstructs the supply, demand, and policy dynamics of a market from first principles, then stress-tests the result across scenarios. Inputs include load growth (including data center demand), generation entry and retirement schedules, transmission development, capacity accreditation frameworks such as ELCC, fuel price pathways, and enacted and proposed policy. The front of every curve is calibrated to observed transactions and broker-reported forwards, so modeled prices reconcile with where the market actually trades. Methodology assumptions are documented and inspectable: a Noreva number is never a black box.

Curves are refreshed monthly, and scenario assumptions are reviewed as policy and market structure evolve, for example around capacity market reforms and demand curve resets.

Customization: Run the Scenarios That Match Your Assumptions

Standard low, base, and high cases are the starting point, not the ceiling. Clients can work with Noreva to adjust assumptions such as load growth, retirement timing, ELCC factors, interconnection pace, fuel prices, and policy pathways, then receive rerun forecast outputs reflecting their house view. For fully bespoke valuation or structuring work, see bespoke consulting.

Delivery and Integration

Forecasts are delivered through the channels your models already use:

  • API: pull scenario curves directly into valuation models, DSCR engines, and trading systems. See data feeds and API.
  • CSV export: model-ready files for Excel-based project finance and budgeting workflows
  • Noreva Data Hub: browse, chart, and download curves and assumptions through the client portal

Use Cases: Who Relies on Long-Term Price Forecasts

Debt sizing and downside analysis are built on low-case merchant curves. Noreva’s scenario documentation gives credit committees an inspectable basis for the revenue assumptions behind a financing.

Long-dated structures, PPAs, and hedges are priced against modeled forward value beyond the liquid curve. Scenario spreads quantify the risk premium being taken or sold.

Revenue-stack modeling for new build, repowering, and storage requires zonal energy, capacity, and attribute forecasts over the asset life. Noreva covers all three in one framework.

Portfolio decisions and acquisition underwriting depend on consistent long-term views across markets and commodities, with the ability to flex assumptions to internal cases.

How to Evaluate a Long-Term Power Price Forecast Provider

Whichever providers you shortlist, five criteria separate bankable forecasts from indicative ones:

  • Transactional grounding: is the front of the curve calibrated to observed trades and broker forwards, or purely modeled?
  • Scenario design: are low, base, and high cases internally consistent pathways, or arbitrary percentage bands around one line?
  • Locational granularity: does coverage reach the zone, hub, or locality where your asset settles?
  • Transparency: can you inspect and adjust the assumptions behind the curve?
  • Update cadence and delivery: monthly refreshes and API or CSV delivery keep models current without manual rework

Frequently Asked Questions: Long-Term Power Price Forecasts

Long-horizon wholesale power price forecasts come from a mix of public sources and specialized providers. Public outlooks such as the EIA Annual Energy Outlook offer free national projections, while specialized market intelligence platforms provide the zonal, scenario-based curves used in valuation and financing. Noreva provides 10 to 20 year wholesale power price forecasts as part of its 25-year merchant curves, covering PJM, ERCOT, MISO, CAISO, NYISO, ISO-NE, and SPP under low, base, and high scenarios, calibrated to observed transactions.

Scenario-based long-term power price forecasts are available from Noreva through subscription access. Every market ships with three calibrated cases, low (bear), base, and high (bull), delivered via API, CSV export, or the Noreva Data Hub. Clients can also adjust assumptions and rerun scenarios to match their internal house view. The fastest way to evaluate fit is to book a demo and review sample curves for your target market.

The provider landscape spans government outlooks, ISO planning studies, large multi-commodity research houses, power analytics software platforms, and transaction-calibrated intelligence platforms. Noreva sits in the last category: it is a specialized provider of US power and capacity price forecasts, combining fundamentals modeling with live transactional inputs across all seven major ISOs and RTOs, with capacity coverage detailed on the capacity hub.

Few providers cover power, capacity, and environmental attributes in a single consistent framework; most specialize in one. Noreva forecasts all three, plus renewable fuels, using the same scenario methodology and delivery stack, which lets clients model a complete asset revenue stack (energy, capacity, and attributes) from one source.

Yes. Clients can adjust core assumptions, including load growth, retirements, policy pathways, ELCC factors, and fuel inputs, and receive rerun scenario outputs. Fully bespoke curve builds and valuation engagements are available through bespoke consulting.

Merchant curves are updated monthly, with the transaction-based front of the curve refreshed against live broker and market inputs, and scenario assumptions reviewed as policy and market design evolve.

See the market. Price the future. 

See the market. Price the future. 

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Access Noreva’s Long-Term Forecasts

Noreva’s scenario merchant curves cover every major US power market across energy, capacity, environmental attributes, and fuels, structured for direct use in valuation, financing, and commercial workflows. To review sample curves and methodology for your market, book a demo with our team.