Load growth. Resource retirements. Transmission expansion. Policy changes. Fuel prices. Storage. Each assumption can reshape long-term market outcomes. But many organizations still face a tradeoff: ready-to-use forecasts with limited visibility into the underlying assumptions, or sophisticated models that require extensive preparation and workflow management.
Yes Energy Modeling gives utilities, developers, investors, and market participants a better way to understand what could happen before deciding what to do next.
Understand More Before You Decide
Start With a Transparent Market View.
Explore fundamentally modeled long-term market outlooks built on documented assumptions. Understand what is driving the results, not just the answer.
Test the Futures That Matter.
Change assumptions, run scenarios, and see how different choices reshape market outcomes. Scalable energy market simulation software makes broader scenario exploration practical.
Connect Resource and Transmission Planning.
Connect integrated resource planning with detailed power grid modeling. Evaluate capacity needs, resource portfolios, market operations, and transmission impacts from the zonal level through detailed nodal analysis, without stitching together disconnected tools.
Spend More Time Deciding.
Reduce the data preparation, exports, imports, and workflow handoffs that slow analysis. Bring model-ready data, forecasts, and simulation capabilities together so teams can focus on interpreting results and making decisions.
Find the Right Modeling Solution
Whether you need ready-to-use nodal market intelligence, detailed site analysis, or direct control over model assumptions and scenarios, Yes Energy helps you find the right approach for your decision.
Model Portfolio and Market Futures at Scale.
Bring capacity expansion, production cost modeling, and embedded powerflow together in one modeling environment. EnCompass helps teams plan future resource portfolios and analyze how market and transmission conditions could shape outcomes across zonal and nodal markets.
- Plan and compare resource portfolios for integrated resource planning, resource adequacy, and investment analysis
- Build customized market outlooks by controlling assumptions and running your own models
- Analyze congestion, transmission constraints, and project impacts
- Test load, fuel, policy, technology, and portfolio assumptions
- Run extensive simulations in parallel, with cloud and on-premises deployment options
Understand Long-Term Value at the Node.
Evaluate locations, assets, and portfolios using nodal market history, infrastructure intelligence, benchmarking, and fundamentally modeled long-term forecasts. GridSite helps teams understand the market dynamics that could shape future asset value.
- Analyze long-term nodal price and congestion outcomes
- Compare three forecast scenarios, updated quarterly
- Run extensive simulations in parallel
- Analyze nodal prices and marginal emissions produced by the same model
- Connect LMP and marginal emissions insights
- Investigate the assumptions behind the forecast
Modeling Without the Traditional Compromises
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Start with trusted, model-ready market data and spend less time building and maintaining the inputs required for analysis.
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Understand the assumptions, inputs, and market mechanisms behind the results so your analysis can stand up to internal, regulatory, and stakeholder scrutiny.
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Run more scenarios, examine more uncertainty, and make it practical to investigate more planning questions beyond a handful of base cases.
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Move from zonal planning to detailed nodal analysis while modeling energy, ancillary services, capacity, storage, hybrid resources, demand response, and transmission constraints.
Built Around the Decisions You Need to Make
Utilities
Support integrated resource planning, transmission planning, resource adequacy, regulatory filings, and long-term system strategy.
Developers and IPPs
Evaluate market opportunities, compare locations, test portfolio strategies, and understand the factors that could shape long-term asset value.
Financial Institutions
Examine market assumptions, stress-test potential outcomes, and bring greater transparency to investment and portfolio analysis.
More Resources for Modeling
Frequently Asked Questions on Modeling Solutions
Power system modeling software helps organizations analyze how changes in demand, generation, transmission, fuel prices, policy, and other assumptions could affect future market and grid outcomes. These platforms can combine energy market simulation, capacity expansion, production cost modeling, powerflow analysis, and scenario planning to support long-term decisions.
GridSite is forecast-led. It provides ready-to-use nodal market history, long-term forecasts, infrastructure intelligence, and benchmarking for teams evaluating sites, assets, and market opportunities.
EnCompass is modeling-led. It gives teams direct control over assumptions so they can build, modify, and run their own capacity expansion, production cost, and powerflow scenarios.
EnCompass supports integrated resource planning, generation and transmission planning, portfolio strategy, resource adequacy, and regulatory analysis. It brings capacity expansion, production cost modeling, and embedded powerflow together so teams can evaluate how different assumptions affect resource needs, market operations, costs, and transmission outcomes.
Yes. EnCompass supports connected zonal and nodal modeling workflows, allowing teams to move between broader market planning and detailed grid analysis. GridSite provides ready-to-use nodal history and long-term forecasts for evaluating specific locations and assets.
GridSite provides documented forecast assumptions and methodology, supported by quarterly analyst review. EnCompass gives modeling teams visibility into and control over model inputs, assumptions, and scenarios. This transparency helps users understand what is driving the results and explain their analysis to regulators, investors, lenders, and other stakeholders.
Yes. EnCompass is designed to run multiple simulations in parallel and make broader scenario exploration practical. Cloud-scale execution allows teams to move beyond a few base cases and investigate how combinations of load growth, resource changes, transmission development, fuel prices, policy, and other assumptions could reshape future outcomes.