CAISO manages one of the most renewable-intensive power markets in North America. California’s 100% clean electricity mandate by 2045, aggressive solar buildout, and the May 2026 launch of the Extended Day-Ahead Market (EDAM) are structurally reshaping LMP patterns. Midday prices are suppressed by solar saturation while morning and evening ramps create premium windows for flexible assets.
Installed capacity
Renewable penetration
Pricing zones — NP15 / SP15
EDAM launch
CAISO Hubs and Pricing Zones
CAISO operates two main pricing zones, each reflecting distinct generation and load characteristics. Basis between zones can be material during congestion events and renewable curtailment episodes.
Resource Adequacy pricing for the same three zones is covered on the CAISO capacity page.
NP15: Northern California
The benchmark hub for Northern California, encompassing PG&E territory. NP15 is shaped by large hydro resources, Bay Area load, and growing solar generation across the Central Valley. It serves as the reference point for most Northern California PPAs and project finance models.
SP15: Southern California
The Southern California hub covering SCE and SDG&E territory, including the Los Angeles basin. SP15 often trades at a premium during peak summer demand. The Sunrise Powerlink and other transmission constraints create persistent basis between SP15 and the desert solar generation zones.
CAISO LMP Price Drivers
California’s power price formation is driven by a combination of structural renewable integration challenges and evolving market design. Each driver requires explicit modeling rather than reliance on historical average shapes.
Key Drivers of CAISO Forward LMP
Driver
Mechanism
Market Implication
Solar saturation
Excess midday solar generation suppresses or turns negative LMP in spring and fall, particularly at solar-heavy nodes in SP15 and the desert Southwest.
Shape discount for solar projects; negative-price hours increasing in frequency year over year.
Morning and evening ramp
Rapid load pickup before sunrise and after sunset creates the duck curve ramp, requiring fast-ramping resources or storage discharge to clear the market.
Peaker premium during ramp periods; battery charge/discharge spread is the primary storage revenue signal. See duck curve pricing analysis.
EDAM integration
The Extended Day-Ahead Market, launched May 2026, links CAISO with PacifiCorp and other Western utilities, enabling broader resource sharing and arbitrage across the Western Interconnection.
Price convergence across participating utilities; new arbitrage pathways for flexible resources. See EDAM launch briefing.
Hydro variability
California hydro provides significant dispatchable capacity in wet years and tightens supply in dry years, creating year-to-year price swings that compound with demand patterns.
Scenario analysis requires explicit wet/dry hydro dispatch assumptions across the forecast horizon.
Gas peaker fleet retirements
Older once-through cooling gas plants face mandatory retirement under environmental rules. Loss of dispatchable capacity tightens evening reliability margins.
Higher evening peak prices as peaker retirements tighten reserve margins, particularly in SP15.
Offshore wind development
South Coast offshore wind projects represent a future supply increment that could alter overnight and shoulder price formation once commercial operations begin.
Long-dated shape effects in outer years of the merchant curve; timing uncertainty is significant.
Who Uses CAISO Merchant Curves
CAISO’s complexity, driven by high renewable penetration and the duck curve, means that simple extrapolation of historical prices consistently misprices forward revenue. Noreva’s curves are built for decisions where shape and basis matter as much as the flat price.
To review sample CAISO curves for your project or portfolio, book a demo with our team.
Solar Project Finance
California solar projects face an increasing shape discount as midday prices are suppressed by solar saturation. Lenders and developers need merchant curves that capture hourly price profiles by season rather than flat annual averages. Noreva models the PCC1 and PCC2 interconnection queue impacts on future supply and price formation.
Battery Storage Valuation
The charge/discharge spread between midday solar surplus and evening peak demand is the primary revenue driver for CAISO storage assets. Merchant curves must reflect seasonal variation in this spread and the evolving competitive landscape as more storage enters the market. Noreva’s storage dispatch optimization inputs directly support revenue stacking models.
EDAM Strategy
The May 2026 EDAM launch creates new price convergence dynamics between CAISO and PacifiCorp territories. Utilities, traders, and developers with assets across the Western Interconnection need forward price scenarios that reflect the new market structure, including arbitrage pathways and residual congestion between participating balancing authorities.
Renewable Asset Valuation
Acquiring or monetizing operating CAISO renewables requires forward price curves that reflect PCC1 and PCC2 interconnection timelines, curtailment risk, and the evolving renewable portfolio standard compliance structure. Noreva integrates California’s clean energy policy milestones into the price forecast framework.
How Noreva Models CAISO Prices
Each component of CAISO price formation is modeled explicitly rather than assumed away. The result is a merchant curve that reflects California’s structural dynamics, not a regression on historical seasonal averages.
The full modelling approach across all markets is set out in How it Works.
01: Duck Curve Modeling
Hourly Shape by Season: The duck curve is not static. As solar capacity grows and storage deployment increases, the ramp magnitude and timing shift. Noreva models hourly price shapes by month and year, capturing the evolution of the morning and evening ramp premiums and the deepening midday trough. See our duck curve analysis.
02: Nodal Basis
NP15 / SP15 Spread and Congestion Paths: Basis between NP15 and SP15 is driven by transmission constraints, generation siting, and seasonal load patterns. Noreva models historical congestion paths and forward transmission expansion to produce hub-specific and nodal price forecasts relevant for project-specific revenue analysis.
03: Edam Convergence
Western Market Price Integration: The EDAM creates new price linkages across the Western Interconnection. Noreva’s EDAM convergence analysis tracks the degree of price harmonization between CAISO and participating utilities in the day-ahead timeframe, informing how much residual basis risk remains relevant for asset siting and dispatch optimization.
04: Storage Dispatch
Optimization Inputs for Revenue Stacking: Battery storage revenue in CAISO depends on the energy arbitrage spread, ancillary services availability, and capacity market participation. Noreva produces dispatch optimization inputs, including hourly price distributions and spread statistics by season, to support financial models for new-build and operating storage assets.
Merchant Curves Across North American ISOs
Noreva covers all major ISO and RTO markets. Each market has its own structural dynamics requiring dedicated modeling. Scenario design, horizons and update cadence for every market are on the forecasts page.
Noreva Power Merchant Curve Coverage
Market
Key Characteristics
Coverage
Largest US market, capacity auction (BRA), coal-to-gas transition, load-weighted hub pricing
Western Hub, AEP-Dayton, NI Hub, PECO
ERCOT
Islanded Texas grid, scarcity pricing, wind and solar growth, industrial load surge
North Hub, Houston Hub, West Hub, South Hub
Coal retirement wave, wind buildout, MISO North/Central/South regional differences
10 Local Resource Zones, key interface hubs
NYC demand premium, upstate renewables, Con Ed zone, offshore wind pipeline
Zone A through Zone K
Gas dependency, winter reliability risk, offshore wind development, Forward Capacity Market
All six New England zones
Wind-dominant supply stack, dispatchable asset scarcity, MISO-SPP interface congestion
North and South hubs, key LRZ basis
CAISO Market Intelligence
Deep-dive articles and briefings on California power market dynamics from Noreva’s research team. More California and Western market coverage in Market Views.

Quack Economics: What the Duck Curve Actually Prices in 2026

EDAM Launch Day – Briefing

The Era of Realism for California PCC1
Other Power Market Hubs
CAISO’s duck curve and storage build are often treated as a special case. Set against the markets below, the same dynamics appear wherever renewable penetration outruns transmission.
PJM LMP Merchant Curve
PJM’s capacity auction provides a revenue floor that CAISO’s resource adequacy construct handles very differently. The clearest way to price capacity value across market designs.
Frequently Asked Questions: CAISO LMP Merchant Curve
What is the duck curve and how does it affect CAISO LMP forecasts?
The duck curve refers to the characteristic shape of CAISO’s net load profile, which resembles a duck in cross-section. As solar generation peaks at midday, net load (total demand minus solar output) drops sharply, suppressing LMP to near zero or negative values in shoulder and spring months. In the late afternoon, solar output drops while demand rises, requiring rapid ramp-up of dispatchable resources and creating a sharp LMP spike during the evening peak. For merchant curve purposes, this means simple flat annual average prices are structurally misleading for any asset with a time-varying output profile. Solar projects produce most of their energy during the low-price midday window, incurring a shape discount. Storage assets generate their primary energy revenue by buying cheap midday energy and selling during the evening ramp. Noreva models the duck curve’s evolution over time as solar capacity continues to grow and storage penetration changes the ramp dynamics. See our detailed duck curve pricing analysis.
What are NP15 and SP15 and why do they diverge?
NP15 and SP15 are the two main pricing hubs in CAISO, corresponding to Northern and Southern California respectively. NP15 covers PG&E territory and is influenced by hydro resources from the Sierra Nevada, Bay Area load, and Central Valley solar. SP15 covers SCE and SDG&E territory and is shaped by Los Angeles basin demand, desert solar resources, and imports from the Southwest. The two hubs diverge when transmission constraints limit north-south power flows across the Path 26 interface. During periods of high Northern California hydro output, excess generation can push NP15 prices below SP15 if Path 26 is congested. Conversely, during Southern California heat events, high local demand can push SP15 above NP15 if import capacity is constrained. Basis between NP15 and SP15 has historically ranged from minimal to several dollars per MWh on an annual average basis, with intraday divergence being considerably larger.
How does EDAM change CAISO power price dynamics?
The Extended Day-Ahead Market (EDAM), launched in May 2026, links CAISO’s day-ahead market with PacifiCorp and other Western balancing authorities, enabling resource sharing across a broader footprint in the day-ahead timeframe. Before EDAM, Western utilities outside CAISO managed their day-ahead positions bilaterally, meaning CAISO’s solar surplus was often stranded rather than exported to neighbors who could absorb it. EDAM creates a centralized optimization across participating utilities, which should reduce curtailment during high-solar periods and improve overall resource efficiency. For price forecasting, EDAM implies greater price convergence between CAISO and neighboring systems during conditions where arbitrage flows are unconstrained. However, transmission limitations between the CAISO and PacifiCorp footprints mean that residual basis will persist. Our EDAM launch day briefing covers the first-day market outcomes and what they signal for forward price formation.
How does Noreva model battery storage revenue in CAISO?
Battery storage revenue in CAISO comes from three primary sources: energy arbitrage (the spread between low midday prices and high evening prices), ancillary services (regulation up, regulation down, and spinning reserve capacity payments), and capacity market participation under the Resource Adequacy framework. Noreva’s CAISO merchant curves provide the hourly price distributions needed to model energy arbitrage revenue under different dispatch strategies. For a given storage asset’s duration, round-trip efficiency, and degradation profile, the forward price distribution determines the achievable spread across the charge/discharge cycle. The model accounts for market saturation effects as storage capacity grows: as more storage participates in the evening ramp, the spread compresses over time. Noreva produces scenario-based storage revenue outputs that show a range of outcomes tied to storage deployment trajectories and policy assumptions affecting Resource Adequacy capacity prices.
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 CAISO Merchant Curves
Noreva’s CAISO LMP merchant curves are built for project finance, asset valuation, and strategic planning in the Western market. To request access to the full forward price dataset, book a demo with our team.