ISO-NE LMP Merchant Curve: New England Power Price Forecasts

ISO New England operates the most gas-dependent organized power market in the United States. New England’s limited pipeline infrastructure creates severe winter price spikes when natural gas demand for heating competes with power generation. Offshore wind procurements in Massachusetts and Connecticut are set to structurally change this dynamic, adding significant new supply while displacing aging gas-fired and oil-burning capacity over the next decade.

8

Pricing Zones

~30 GW

Installed Capacity

~50%

Gas Share of Generation: Highest of Any US ISO

6+ GW

Offshore Wind Contracted

Why ISO-NE Price Forecasting Demands a Gas-First Approach

No organized power market in the US is more exposed to natural gas price volatility than ISO New England. Forecasting LMPs here without modeling winter pipeline scarcity dynamics produces materially wrong revenue estimates for both generators and buyers.

Offshore Wind Finance: Massachusetts and Connecticut Contract for Differences

Offshore wind projects in New England typically settle under state-administered Contract for Differences (CfD) structures, where the project receives the fixed strike price and returns the floating ISO-NE zonal price to the buyer. Accurate zonal LMP forecasting determines the expected net revenue to the project under the CfD, affecting project finance terms and lender coverage ratios. See our analysis: Transmission Matters Most in Bleak NYISO Forecasts.

Winter Risk Hedging: Gas-Power Price Correlation

Load-serving entities and large industrial buyers in New England face acute winter price risk from the gas-power correlation. A cold snap in January can send Algonquin Citygate gas prices to multiples of Henry Hub while power prices spike across the entire ISO footprint. Noreva’s winter scenario distributions support hedging program design and financial risk quantification for utilities and large C&I buyers.

Peaker Asset Valuation: Scarcity Event Revenue

Peaking capacity in ISO-NE derives significant value from scarcity pricing events, particularly during winter cold snaps when the constrained gas supply stack pushes real-time prices to administratively set caps. Merchant peaker asset valuation requires a probabilistic distribution of winter scarcity event frequency and magnitude, not a single expected-value path. Noreva’s curves capture this tail risk explicitly. See also: Everyone’s Chasing Capacity.

New England PPA Structuring: Zonal Basis Awareness

Corporate buyers entering long-term PPAs sourced from Maine wind or New Hampshire hydro face basis risk relative to their load-serving zone, typically NEMA or CT. Noreva’s zonal basis forecasts quantify the historical and forward-looking price differential between generation zones (ME, NH) and load zones (NEMA, CT), enabling accurate financial hedge sizing. Related: ISO-NE Capacity Market.

ISO-NE LMP Price Driver Analysis

ISO New England’s price formation is dominated by the structural tension between gas dependency and limited pipeline capacity, layered with a decade-long clean energy transition that will reshape the supply stack zone by zone.

ISO-NE Key LMP Price Drivers: Forward Curve Implications

Driver

Mechanism

Affected Zones

Forward Price Impact

Winter Gas Pipeline Scarcity

Algonquin Citygate and Iroquois Zone 2 constraints create severe winter fuel cost spikes when residential heating demand competes with power generation for limited pipeline throughput

All zones, most severe in CT and NEMA

Winter on-peak spikes, elevated price volatility November through March, key driver of annual average price

NEMA / Boston Load Premium

Northeastern Massachusetts and Boston zone faces congested import paths from western generation, creating a persistent intra-ISO basis premium during high-load periods

NEMA (Zone H)

Structural load-zone premium above system average; relevant for Boston-area buyers and in-zone peaker assets

Offshore Wind Integration

Massachusetts and Connecticut procurement programs targeting Vineyard Wind-class projects, with delivery into SEMA and CT zones from 2027 onward

SEMA (Zone J), CT (Zone CT)

On-peak summer price suppression from 2027; shape effects on peak/off-peak spread and scarcity event frequency

Hydro Quebec Imports

Existing AC and DC interconnects carry Canadian hydro into ISO-NE; Northern Pass and similar proposals would materially increase import capacity

ME, NH, VT (northern zones)

Import potential dampens northern zone prices; new interconnect approval would structurally reduce all-ISO forward prices

Oil and Gas Dual-Fuel Switching

ISO-NE requires generators to maintain dual-fuel capability as a reliability backstop; oil-burning generation dispatches during extreme gas constraint events, capping price spikes

All zones

Acts as a price ceiling during severe winter events, but at elevated oil-equivalent generation costs

Retirement of Aging Fleet

Coal, oil, and older gas-steam units are exiting the market through 2030, with retirements approved through FCM; each retirement tightens the supply stack during scarcity hours

All zones

Gradual supply tightening supports medium-term on-peak prices ahead of offshore wind entry; increases scarcity event frequency in the interim

ISO-NE Zonal Structure: Pricing Geography

ISO New England’s eight pricing zones align with state and sub-state boundaries, with persistent price gradients driven by transmission constraints, gas infrastructure access, and proximity to coastal load centers.

ISO-NE Zone Reference: Key Pricing Locations

Zone

Geography

Price Character

ME (Zone ME)

Maine, northern New England

Generation-rich zone with hydro and growing wind; typically lowest prices in ISO-NE, strong basis differential to southern load zones

NH (Zone NH)

New Hampshire

Transition zone with hydro and nuclear capacity; moderately priced relative to southern zones

VT (Zone VT)

Vermont

Predominantly load zone with limited in-state generation; imports from HQ and NY shape prices

CT (Zone CT)

Connecticut

Distinct gas infrastructure characteristics; separate pipeline access affects winter price formation; major offshore wind delivery target

WCMA (Zone WCMA)

Western and Central Massachusetts

Central corridor zone; prices influenced by both western generation imports and eastern load pull

NEMA (Zone H)

Northeastern Massachusetts, Boston metro

Highest demand density in ISO-NE; transmission-constrained with persistent load-zone premium, primary target for offshore wind delivery and peaker investment

How Noreva Models ISO-NE LMP Forward Curves

ISO-NE’s gas dependency requires forward curve methodology that explicitly models fuel price volatility, pipeline constraint probability, and the non-linear relationship between cold weather events and power price outcomes.

Noreva models the Algonquin Citygate and Iroquois Zone 2 basis above Henry Hub as a function of heating degree day severity and pipeline utilization rates. The resulting conditional gas price distribution is propagated through the dispatch stack to generate a probabilistic LMP distribution for winter hours, capturing the fat-tailed scarcity risk that single-path forecasts miss entirely.

The NEMA zone’s persistent premium above the ISO-NE system average is modeled as a function of transmission import constraints, in-zone generation dispatch, and demand growth. Noreva produces NEMA-specific forward curves that isolate the congestion and loss components of the LMP, supporting in-zone asset valuation and Boston-area corporate buyer hedging. See: ISO-NE Capacity Market.

ISO-NE offshore wind scenarios model a range of project delivery timelines for Massachusetts and Connecticut procurements, accounting for permitting, interconnection, and supply chain risk. The analysis captures not just the average price suppression from new supply but the shape effect: the compression of summer afternoon on-peak prices and the increase in negative-price incidence during low-load, high-wind spring and fall periods.

The Forward Capacity Market commitment and retirement notification process provides visibility into the ISO-NE capacity stack over a three-year horizon. Noreva integrates known retirements and FCM-committed new entry into the supply stack model, producing dispatch simulations that reflect the evolving fleet composition and its effect on annual average LMPs and scarcity event frequency. Related: Why Keeping Coal Online Will Be So Expensive.

Other Power Market Hubs

New England’s gas dependency makes it an outlier, but the markets below each isolate one part of the same problem: fuel constraint, capacity design, and renewable integration.

California

CAISO LMP Merchant Curve

CAISO is solar and storage constrained where ISO-NE is gas constrained. It shows how a system prices reliability once fuel is no longer the binding input, which is New England’s post-offshore-wind question.

Texas

ERCOT LMP Merchant Curve

ERCOT concentrates revenue in a handful of scarcity hours through ORDC. ISO-NE concentrates it in winter cold snaps. The clearest comparison of tail-driven revenue under different market designs.

Midwest / South

MISO LMP Merchant Curve

MISO’s coal retirement schedule and capacity construct show how a large thermal system manages an orderly exit, against ISO-NE’s faster and more gas-dependent transition.

New York

NYISO LMP Merchant Curve

ISO-NE and NYISO draw on the same constrained Iroquois and Algonquin capacity. A New England cold snap and a New York one are usually the same event priced in two markets.

Mid-Atlantic / Midwest

PJM LMP Merchant Curve

PJM’s RPM auction clears very differently from ISO-NE’s Forward Capacity Market despite similar intent. The cleanest read on capacity revenue risk in the East.

Southwest

SPP LMP Merchant Curve

SPP’s wind-dominated stack is the structural opposite of New England’s gas-dominated one. It isolates how much of a forward curve is fuel cost and how much is generation mix.

Frequently Asked Questions: ISO-NE LMP Merchant Curve

Gas-fired generation accounts for roughly 50% of ISO-NE’s installed capacity and a higher share of actual energy output, making it the marginal price-setting resource in the vast majority of hours. New England imports most of its natural gas via interstate pipelines from the mid-Atlantic and Canadian systems, with the Algonquin Gas Transmission and Tennessee Gas Pipeline systems serving as the primary supply routes into the region. These pipelines were built to a capacity that is insufficient during extreme cold events when residential and commercial heating demand surges simultaneously with power generation fuel demand. When pipeline throughput is constrained, the spot price at the Algonquin Citygate delivery point disconnects sharply from the Henry Hub benchmark, sometimes reaching multiples of the hub price during the most severe events. Gas generators facing high spot fuel costs offer into the ISO-NE day-ahead and real-time markets at elevated prices, setting the system LMP at levels that can reach hundreds of dollars per megawatt-hour during the most acute events. New England’s limited cross-border electricity interconnection also limits the ability to import power from neighboring markets as a substitute, amplifying the price response. This dynamic is the primary reason why ISO-NE historically has among the highest average winter power prices of any organized market in the United States.

Massachusetts and Connecticut have contracted over 6 GW of offshore wind capacity, with projects including Vineyard Wind and Revolution Wind expected to deliver into SEMA and CT zones beginning around 2027. The structural effect on ISO-NE power prices will unfold over multiple years as successive tranches of offshore wind enter service. The primary near-term effect will be suppression of on-peak summer prices in southern zones, as offshore wind output correlates with high summer afternoon demand. The medium-term effect will be displacement of some gas-fired generation, reducing the frequency with which gas price spikes translate directly into power price spikes. However, offshore wind does not solve the winter gas constraint problem: offshore wind output in New England peaks in winter but the critical pipeline constraint events are driven by overnight heating demand during cold snaps, and the coincidence of peak offshore wind with peak winter heating demand is imperfect. The longer-term trajectory depends on whether storage procurements, demand response, and additional interconnection to Quebec hydro develop alongside offshore wind to provide a complete winter reliability solution. Noreva models a range of build-out scenarios to capture the timeline uncertainty and the conditional price impact in each season and load period.

NEMA, or Northeastern Massachusetts, is ISO-NE Zone H and encompasses the Greater Boston metropolitan area and the surrounding northeastern Massachusetts load corridor. It is the highest load-density zone in the ISO and faces binding transmission constraints on the import paths bringing power from western Massachusetts and Connecticut into the Boston area. When load in the NEMA zone exceeds what can be imported across the constrained transmission interfaces, the ISO must dispatch in-zone generation to maintain reliability, and this in-zone generation typically operates at higher marginal cost than the system average, setting the NEMA zonal LMP at a premium above the ISO-NE system LMP. The NEMA premium is not constant: it widens during high-load summer days and periods of system stress, and narrows during moderate conditions when import capacity is not binding. For asset owners and buyers in the Boston area, the NEMA premium is a material consideration in both revenue forecasting and power procurement cost analysis. Offshore wind projects delivering into the NEMA zone will partially relieve the congestion premium over time, though the transmission constraints must be explicitly addressed through grid upgrades for the full benefit to be realized.

Noreva’s ISO-NE winter scarcity modeling uses a stochastic approach rather than a single deterministic forecast path. The model draws on historical distributions of cold-snap frequency (measured in heating degree days per winter), Algonquin Citygate basis above Henry Hub during constrained periods, dual-fuel switching rates in the gas-fired fleet, and available firm pipeline capacity relative to demand at various temperature scenarios. These inputs generate a conditional distribution of winter LMP outcomes rather than a single average price. For project finance and asset valuation purposes, this probabilistic approach allows Noreva to produce P50, P75, and P90 winter revenue estimates that accurately reflect the fat-tailed nature of ISO-NE winter price risk. Single-path forecasts using average or expected-value gas prices systematically underestimate winter average power prices because they cannot capture the asymmetric impact of tail events: a single extreme cold-snap week can contribute disproportionately to the annual average LMP. The stochastic framework also enables scenario analysis around structural changes such as new pipeline additions, LNG facility changes, or significant demand response program expansions that alter the effective pipeline constraint severity. See our related analysis at ISO-NE Capacity Market.

See the market. Price the future. 

See the market. Price the future. 

Access ISO-NE LMP Merchant Curves