Wholesale electricity prices are shaped by fuel costs, transmission constraints, renewable intermittency, and load dynamics, varying by node, by hour, by season. Noreva delivers forward-looking LMP curves and merchant power scenarios across all seven US organized wholesale markets.
Power Price Forecasting at Institutional Grade
The US wholesale power sector is undergoing structural transformation. Coal retirements, an accelerating renewable build-out, data center load growth, and shifting natural gas price dynamics are reshaping the LMP landscape in every major market. What was true about a hub’s price history is an increasingly unreliable guide to its price future.
Project Development & Asset Valuation
For renewable energy developers, battery storage companies, and gas generators, power revenue is the foundation of the financial model. Noreva’s nodal LMP curves provide the site-specific, scenario-based forward price assumptions that project finance models require. See: Whiplash Refresh Highlights US Power Opportunities.
PPA & Offtake Structuring
A PPA struck at a node with significant congestion exposure, basis risk, or shape disadvantage may underperform even if the hub price performs in line with forecast. Noreva’s nodal and basis forecasts allow developers and offtakers to price location-specific power accurately, accounting for hub-to-node spread, on/off-peak shape, and settled generation profiles.
Trading & Risk Management
Power traders and risk managers require credible forward price curves to mark books, set hedge ratios, and evaluate structured transactions. Noreva’s near-term LMP forecasts provide the reference point for bilateral contract pricing, virtual bid benchmarking, and FTR strategy across all seven US organized markets.
Lender & Investor Due Diligence
Infrastructure lenders and equity investors require defensible merchant power price assumptions for any project with uncontracted generation exposure. Noreva’s scenario-based merchant power curves (covering base, low, and high cases) are built to withstand the scrutiny of credit committees and technical advisors. See: Untangling AES Amid a Power Valuation Boom.
Seven Markets. One Integrated View.
Noreva provides LMP price forecasts, nodal basis analysis, and congestion curves across all major US organized wholesale power markets. Our coverage encompasses energy price forecasting and the market-specific dynamics (nodal spreads, congestion patterns, shape premiums, and generation economics) that determine real revenue outcomes for power assets.
Noreva Power Market Coverage: Summary
Market
Geography
Key Coverage
Primary Use Cases
Mid-Atlantic, Midwest, Southeast
Hub LMP curves, nodal basis, FTR patterns, capacity interaction
Project valuation, PPA pricing, capacity auction strategy
Texas
Settlement point prices, congestion basis, renewable curtailment, load growth
Texas project finance, PPA structuring, battery storage valuation
California
NP15/SP15 LMP curves, nodal basis, duck curve, generation economics
California asset valuation, storage modeling, renewable project finance
Midwest, South
Hub LMP curves, congestion patterns, fuel mix dynamics
Midwest project development, dispatchable asset valuation, PPA pricing
New York
Zonal LMP (A to K), NYC and Long Island load pockets, transmission constraints, offshore wind
New York asset valuation, offshore wind analysis, PPA structuring
New England
Zonal LMP, winter gas constraints, import interfaces, offshore wind
New England asset valuation, winter risk analysis, PPA structuring
Great Plains
Hub and zonal LMP curves, wind curtailment, congestion basis, gas buildout
Wind project valuation, dispatchable asset analysis, PPA pricing
Fundamentals-First. Not Trend Extrapolation.
Noreva’s power market forecasts reconstruct the dispatch economics of each market, modeling the interaction of fuel costs, generator bidding behavior, transmission constraints, and load patterns, rather than extrapolating historical price trends.
01: Dispatch & Generation Economics
We track fuel prices, heat rates, variable O&M, and marginal cost curves for gas, coal, nuclear, hydro, and renewables, integrating capacity additions from the interconnection queue, announced retirements, and policy-driven accelerations. See: Why Keeping Coal Online Will Be So Expensive.
02: Nodal & Congestion Modeling
Revenue for individual power assets is determined at the delivery node, which may trade at a significant premium or discount to the hub. For markets with chronic congestion (PJM interfaces, ERCOT West Texas, CAISO path 15) nodal basis is often as material as the hub LMP itself.
03: Renewable Integration & Shape Effects
Solar penetration is depressing midday prices in CAISO, ERCOT, and MISO while creating morning and evening ramp premiums. Noreva’s shape analysis captures these structural changes in hourly and seasonal price patterns. See: Dispatchable Dominance in SPP and MISO.
04: Fuel Price & Market Linkage
Natural gas prices remain the primary marginal cost input in most US power markets during on-peak hours. Noreva’s power price forecasts are explicitly linked to natural gas forward curves, ensuring internal consistency between fuel and power price assumptions. See: Can Gas Save SPP?
05: AI-Powered Scenario Testing
Our AI-driven modeling layer stress-tests forward LMP assumptions across multiple fuel price, demand growth, and capacity addition scenarios. Clients receive a credible low-base-high scenario envelope, structured to support sensitivity analysis in financial models and risk committee presentations.
Market Coverage: Section Overview
Each of Noreva’s seven power market pages provides a dedicated analytical framework, because each ISO has its own congestion patterns, generation economics, and policy environment.
PJM Nodal & Curves
PJM Interconnection is the largest organized wholesale electricity market in the United States, serving over 65 million people across 13 states and DC. PJM operates a nodal LMP market with hundreds of distinct pricing points, a capacity market (RPM) with locational clearing, and an active financial transmission right (FTR) market. The PJM power price landscape is shaped by natural gas infrastructure in the Mid-Atlantic, coal retirement dynamics in the Midwest, and the rapid buildout of solar and offshore wind in PJM East states. Noreva provides PJM hub and zonal LMP curves, nodal basis forecasts, and scenario analysis aligned to the RPM capacity market outlook. See: Project Finance and PJM Auction Repercussions.
ERCOT Congestion & Basis
The Electric Reliability Council of Texas (ERCOT) operates as an energy-only market with no capacity market, making energy LMP and ancillary services revenue the sole drivers of generator economics. ERCOT’s price dynamics are heavily influenced by Texas wind and solar penetration, natural gas pipeline constraints during winter weather events, and the state’s rapidly growing data center and industrial load. Congestion between West Texas renewable generation zones and Houston/Dallas load centers creates structural basis risk for generators. Noreva’s ERCOT forecasts cover hub and settlement point LMP curves, congestion basis analysis, and scenario modeling for demand growth and renewable build trajectories. See: The Shape of the Storm: Lessons from Fern.
CAISO Nodal & Gen Economics
The California Independent System Operator (CAISO) manages one of the most complex and renewable-heavy power markets in North America. California’s aggressive clean energy targets (100% zero-carbon electricity by 2045) are reshaping the dispatch stack, creating negative midday prices in solar-saturated conditions and large morning and evening ramp premiums that reward flexible assets. Storage economics in CAISO are increasingly driven by the price spread between solar-suppressed midday LMPs and evening peak prices. Noreva provides CAISO NP15 and SP15 LMP curves, nodal basis forecasts, generation economics analysis, and storage valuation scenarios. See: The Era of Realism for California PCC1.
MISO Curves & Congestion
The Midcontinent Independent System Operator (MISO) covers a broad swath of the Midwest and South, from Manitoba to Louisiana. MISO power prices are driven by a generation stack in transition: significant coal retirement underway, strong wind development in the upper Midwest, and growing solar penetration in the South region. Congestion between MISO North and MISO South zones, and between MISO and adjacent markets at the PJM and SPP interfaces, creates material basis exposure for generators and load. Noreva provides MISO hub and local resource zone LMP curves, congestion analysis, and scenario modeling for the South region’s accelerating capacity transition. See: Dispatchable Dominance in SPP and MISO.
NYISO Zonal & Curves
The New York Independent System Operator (NYISO) operates New York’s zonal wholesale market across load zones A through K. The market is heavily constrained by transmission infrastructure, particularly into the New York City and Long Island load pockets, creating persistent zonal price premiums over upstate zones. Aggressive offshore wind procurement under the state’s climate targets is set to add substantial new supply while displacing gas-fired generation over the next decade. Noreva provides NYISO zonal LMP curves, NYC load pocket premium analysis, transmission constraint analysis, and offshore wind integration scenarios. See: Transmission Matters Most in Bleak NYISO Forecasts and New York’s Power Pricing Paradox.
ISO-NE Zonal & Curves
ISO New England (ISO-NE) runs the most gas-dependent organized power market in the United States: roughly half of New England’s generation is gas-fired, and limited pipeline infrastructure produces severe winter price spikes when heating demand competes with power generation. Offshore wind procurements in Massachusetts and Connecticut, with more than 6 GW contracted, are set to structurally change that dynamic while displacing aging gas- and oil-burning capacity. Noreva provides ISO-NE zonal LMP curves across the region’s eight pricing zones, winter gas constraint analysis, import interface modeling, and offshore wind integration scenarios. See: Everyone’s Chasing Capacity.
SPP Curves & Wind Basis
The Southwest Power Pool (SPP) spans 14 states from North Dakota to Texas and operates one of the most wind-intensive power markets in North America, with wind above 30% of installed capacity. Heavy wind output from Oklahoma, Kansas, and the Texas panhandle suppresses overnight and shoulder-hour prices and creates persistent basis differentials between high-wind generation zones and Southern load centers, while accelerating coal retirements are pulling a new gas buildout into the stack. Noreva provides SPP hub and zonal LMP curves, wind curtailment and congestion basis analysis, and dispatchable capacity scenario modeling. See: Dispatchable Dominance in SPP and MISO and Can Gas Save SPP?
How Clients Use Power Market Data
Power Market Data: Who Uses What
Profile
Primary Need
Noreva Output
Renewable Energy Developers & IPPs
Node-level LMP forecasts for project revenue modeling; PPA strike price calibration
Nodal LMP curves, hub price scenarios, shape analysis
Battery Storage Developers
Price spread forecasting for storage dispatch optimization and merchant revenue modeling
Intraday shape forecasts, on/off-peak spread curves, ancillary services outlook
Gas & Thermal Generator Owners
Energy margin forecasting; spark spread analysis; capacity + energy revenue stacking
Hub LMP curves, gas-to-power spread modeling, capacity market interaction
Lenders & Infrastructure Investors
Defensible merchant power price assumptions for debt sizing and equity underwriting
Long-term merchant curves with base/low/high scenarios; stress-test outputs
Corporate Buyers & C&I Offtakers
PPA pricing benchmarks; forward power cost budgeting; hedge ratio calibration
Hub and zonal price forecasts; near-term seasonal outlooks
Power Traders & Risk Managers
Forward price reference for book marking, bilateral pricing, FTR strategy
Near-term LMP forecasts; nodal basis curves; congestion scenario analysis
Frequently Asked Questions: US Power Markets
What is an LMP and why does it vary by location?
A Locational Marginal Price (LMP) is the cost of serving one additional megawatt-hour of electricity demand at a specific location in the grid at a specific point in time. LMPs vary by location because transmission constraints (lines that are congested) prevent low-cost power from flowing freely to high-demand areas. When a transmission constraint is binding, the LMP at the constrained load node rises above the hub price, while the LMP at the generation node may fall below it. This congestion component is what creates basis, the difference between a generator’s delivery node LMP and the hub or zone price. Understanding and forecasting nodal basis is as important as forecasting the hub price for most power assets.
What is a merchant power curve and how is it used?
A merchant power curve is a long-dated forward price series (typically extending 20 to 30 years) that represents the expected wholesale electricity price at a given hub or node under a defined set of assumptions about fuel costs, capacity additions, retirements, demand growth, and policy. Merchant curves are used in project finance to model the revenue from generation that is not contracted under a fixed-price PPA, the so-called “merchant tail” or fully merchant project. Lenders require a credible merchant curve to underwrite DSCR and to stress-test downside power price scenarios. Equity investors use merchant curves to model terminal values and unlevered IRRs for power-generating assets.
How does Noreva handle uncertainty in long-term power price forecasting?
Long-term power price forecasting involves genuine uncertainty, particularly around future natural gas prices, the pace and cost of renewable build-out, demand growth from data centers and electrification, and policy-driven grid transformation. Noreva addresses this uncertainty through scenario-based outputs: every long-term merchant curve includes a base case, a conservative/low scenario, and an upside/high scenario, with each scenario grounded in a coherent set of assumptions about the key drivers. This scenario structure is explicitly designed to support lender stress tests and investment committee sensitivity analysis, not to provide false precision about an inherently uncertain future.
What makes nodal pricing in ERCOT different from PJM or CAISO?
ERCOT, PJM, and CAISO all operate nodal LMP markets, but their congestion management approaches and market structures differ materially. ERCOT uses settlement points and Congestion Revenue Rights (CRRs) rather than the FTR market of the same type as PJM. ERCOT also lacks a formal capacity market, making energy and ancillary services revenue the only market revenues for generators. PJM’s nodal market is coupled to a locational capacity market, so congestion affects both energy and capacity revenue simultaneously. CAISO’s nodal structure is shaped by the state’s aggressive renewable integration, with negative price events and ramp constraints creating a distinct price profile from the Midwest or Mid-Atlantic. Each market requires its own analytical framework, which is why Noreva covers each separately rather than applying a single regional model.
Which power markets does Noreva cover?
Noreva covers all seven US organized wholesale power markets: PJM, ERCOT, CAISO, MISO, NYISO, ISO-NE, and SPP. Coverage includes hub and zonal LMP price curves, nodal basis forecasts for key delivery points, seasonal and intraday shape analysis, and long-term merchant power scenarios. For bilateral Western markets outside the organized ISOs, please contact Noreva directly.
See the market. Price the future.
See the market. Price the future.
See the market. Price the future.
See the market. Price the future.
See the market. Price the future.
See the market. Price the future.
Access Noreva’s Power Market Forecasts
Covering PJM, ERCOT, CAISO, MISO, NYISO, ISO-NE, and SPP with hub LMP curves, nodal basis forecasts, and long-term merchant scenarios, available through the Power LMP Merchant Curves and Power Pricing Data Service. Book a demo with our team.