GridForesight Platform
GridForesight Platform turns fragmented data sources into coherent demand and supply scenarios for explainable grid simulations.
Demand and supply forecasts SHOULD NOT be modeled from disconnected assumptions.
Simulations are only as good as the data behind them. GridForesight Platform starts with the data layer: GIS and electrical topology anchor the system, while time series, grid models, reports, and other documents are checked and organized into scenario-ready inputs.
The demand and supply simulators run on the same weather, climate, economic, growth, and network assumptions. Every supply or demand scenario can be traced back to the inputs, assumptions, and model version behind it. That makes every result interpretable and reproducible.
Once demand and supply scenarios are traceable and internally consistent, they can be reused across studies with confidence. GridForesight Platform currently runs three applications on that foundation: market simulation, distribution system simulation, and data center load simulation.
The market simulator uses coherent demand and supply scenarios with the transmission network model to study future market conditions under different weather, growth, supply, and policy assumptions.
The distribution system simulator uses feeder, transformer, and substation models together with demand and behind-the-fence supply scenarios to evaluate asset stress across plausible futures and provide insights on the relevant risks the system will face.
Data center simulator captures realization probability, energization timing, ramp-up, 8760-hourly operating shape, and short-term second-scale behavior.
Platform extensibility
The platform’s components remain modular, so new applications are added seamlessly.
GridForesight Tech
Contact us to explore how you can utilize and benefit from this platform.
