Where Future Grid Conditions Meet Today’s Energy Decisions
Make long-term energy decisions with confidence using GridSite, a decision-grade power market intelligence platform built to reduce risk in an increasingly complex grid. Backed by more than 15 years of investment in the energy sector’s most trusted power market data infrastructure, GridSite helps developers, utilities, and large energy buyers evaluate opportunities using historical market intelligence, infrastructure data, long-term nodal forecasts, and scenario-based analysis designed to evaluate how future grid conditions may impact prices, emissions, congestion, and project value.
GridSite unifies historical and forecast nodal pricing, congestion analysis, infrastructure intelligence, emissions insights and transaction benchmarks in a single platform. With transparent assumptions, expert-curated forecasts, and integrated market context, GridSite helps organizations make decisions that stand up to scrutiny, whether evaluating project locations, validating PPA pricing, or planning for long-term grid change.
"Since integrating GridSite into my workflow, my approach to generation asset valuation has completely transformed. By consolidating critical datasets from multiple sources into one user-friendly platform, GridSite has drastically reduced the time I spend gathering and processing information. The clarity, accuracy, and finger-tip availability of power market data empowers me to deliver more robust, actionable insights to my clients by bridging the gap between pre-development and operational revenue expectations.
As a result, our asset valuations are more resilient to market changes and are grounded in a deeper understanding of both current market conditions and future drivers of value and risk. With GridSite, I have a trusted ally in navigating the ever-evolving complexities of today's power markets.”


Defensible Insight for High-stakes Energy Decisions
Make High-Stakes Decisions with Confidence.
Understand how long-term price signals, congestion, emissions impacts, and grid change combine at the nodal level before capital or contracts are committed.
Defend Decisions with Transparent, Auditable Assumptions.
Replace black-box assumptions with traceable nodal history, defensible forecasts built on a physically grounded, fundamental nodal methodology, and documented methodologies that standup to lender, regulator, board, and investment committee scrutiny.
Expose Location Risk Others Miss.
Identify basis risk, volatility, and future congestion by evaluating locations in the context of generation, transmission, and load buildout.
Eliminate Fragmented Analysis and Manual Work.
Move beyond spreadsheets and disconnected tools with a single platform that unifies pricing, infrastructure intelligence, and benchmarking.
Why Customers Trust GridSite Forecasts
- Physically grounded nodal forecasts designed to model future grid evolution, not simply extrapolate historical price relationships
- Long-term hourly nodal LMP forecasts across 100,000+ nodes
- Price and emissions forecasts generated from a consistent modeling framework
- Transparent assumptions and documented methodologies. Expert market analyst review and update on recurring basis
- Auditable forecasts used to support project financing and long-term investment decisions
- Scenario-based analysis designed to evaluate how load growth, generation buildout, transmission expansion, and policy changes may impact future market outcomes
Rely on Long-Term Price Insight You Can Defend.
GridSite combines defensible nodal price forecasts and locational marginal emissions rate (LMER) forecasts within a single modeling framework. By evaluating future market prices and emissions impacts together, organizations can make more informed decisions around project development, procurement, decarbonization, and long-term energy strategy.
Anchor Analysis to Locations That Truly Reflect Project Economics.
GridSite helps teams identify and validate proxy nodes using historical nodal pricing, congestion patterns, and volatility metrics, reducing risk from cherry-picked or misleading assumptions before committing capital or contracts.
See How a Location Has Actually Performed over Time.
GridSite delivers deep historical nodal pricing and congestion insight, enabling teams to understand volatility, basis risk, and the market dynamics that have shaped value at a given node.
Anticipate How the Grid Is Evolving around a Location.
By connecting interconnection queues with generation, transmission, and load buildout data, GridSite provides early visibility into future infrastructure changes that may impact congestion, basis risk, and long-term outcomes.
Validate Assumptions Against Historical Performance.
With integrated FERC EQR transaction data and operating asset benchmarks, GridSite enables teams to validate pricing assumptions, evaluate offtake structures, and benchmark expected performance against real-world market outcomes.
Frequently Asked Questions about GridSite
GridSite is a strong fit for IPPs and energy asset developers evaluating project locations, revenue potential, and long-term market risk across US ISO markets. Developers use GridSite to identify accurate proxy nodes, understand historical and future pricing, assess congestion and basis risk, and evaluate how upcoming grid changes may impact project value, all without relying on fragmented data or costly consultant studies.
GridSite is also well suited for utilities and public power entities negotiating power purchase agreements. Utilities rely on GridSite to validate PPA pricing assumptions, benchmark contract terms against comparable transactions, quantify nodal risk, and support defensible procurement decisions that stand up to internal and regulatory scrutiny.
Large commercial and industrial energy buyers use GridSite to evaluate renewable procurement opportunities, model future energy costs, assess emissions impacts, and support long-term energy and sustainability strategies. By combining nodal price and emissions forecasts with infrastructure and market intelligence, GridSite provides a more complete view of future energy risk and opportunity.
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GridSite forecasts include both nodal LMP and locational marginal emissions rate (LMER) forecasts, enabling organizations to evaluate future energy costs and emissions impacts using a consistent set of assumptions. This is particularly valuable for renewable procurement, clean energy matching strategies, and long-term sustainability planning.