Price, basis & congestion
Forecast distributions and market-driver analysis for the locations, hours, and regimes that actually shape exposure.
Independent electricity market intelligence
CurrentIQ builds electricity-native forecasting, risk, and market systems for recurring decisions in procurement, asset operations, and market products.
01 / Expertise
Electricity is physical, local, nonlinear, and ruled by time.
CurrentIQ combines energy economics, power-market structure, quantitative modeling, and production engineering to connect market conditions, uncertainty, and feasible actions.
Forecast distributions and market-driver analysis for the locations, hours, and regimes that actually shape exposure.
Scenario-weighted downside, cost-of-certainty, and regret views that turn volatility into an explicit decision frame.
Product, liquidity, and execution systems informed by how power markets clear—not by a generic financial-market template.
02 / Products & capabilities
Modular systems for recurring market decisions. Start with one workflow, then expand across markets, assets, and users.
Probabilistic price and congestion views with regime context, driver attribution, and explicit tail scenarios.
Signal → distribution → action thresholdA board-readable view of expected budget, downside cases, procurement-sensitive spend, and the cost of certainty.
Exposure → alternatives → regret viewMarket-aware analysis for storage, solar, flexible load, and peak exposure—grounded in feasible operating choices.
Capability → dispatch value → residual riskResearch and production-minded tooling for electricity-market product design, liquidity programs, quoting, and execution controls.
Market need → product logic → control system03 / Research
The strongest market tools begin with the right model of how electricity behaves.
CurrentIQ focuses on structures that general-purpose forecasting models often underrepresent: dispatch, scarcity, network constraints, operator rules, and asset state.
How reserves, outages, weather, and operator rules create nonlinear price outcomes.
How network constraints translate system conditions into nodal and hub-level risk.
How changing net-load shapes move value across hours, locations, and operating states.
Research into models and synthetic priors that encode merit order, dispatch, congestion, and market design.
04 / Method
Every system moves through the same disciplined chain.
Prices, load, weather, outages, fuel, grid conditions
Market rules, physical constraints, incentives, feasible actions
Distributions, regimes, scenarios, uncertainty, validation
Thresholds, trade-offs, controls, board-readable outputs
05 / About
CurrentIQ is an independent electricity-market intelligence company founded by James Kim, Ph.D., an energy economist and quantitative market practitioner.
James combines wholesale power trading, research at U.S. national laboratories, and production quantitative systems for electricity markets. He has published extensively on virtual trading, financial transmission rights, transmission value, energy-storage operations, renewable-energy market participation, ancillary services, and retail- and consumer-side energy.
Work with CurrentIQ
CurrentIQ works with market participants, technology partners, and research organizations on product pilots, integrations, and repeatable decision workflows.
info@currentiq.app