Rapid Monte Carlo
Generate thousands of stochastic runs quickly, quantifying uncertainty across fuel and carbon prices, capacity, demand and network limits.
Powered market modelling
Fast, transparent power market modelling leveraging latest ML and AI techniques to provide unparalleled insights into Europe’s power markets.
Power market intelligence
Nixa Energy pairs fundamental price formation with machine learning-accelerated scenario modelling for a fully transparent pricing engine. Run thousands of Monte Carlo draws, forecast production costs, and trace every price back to the exact mechanic that produced it, across Europe’s power markets.
Core platform
Nixa Energy is a power market simulation platform built for Europe. It combines fundamental price formation and Monte Carlo scenario modelling to quantify risk across thousands of scenarios.
Generate thousands of stochastic runs quickly, quantifying uncertainty across fuel and carbon prices, capacity, demand and network limits.
Machine learning surfaces the patterns in every run, forecasting market prices and optimizing dispatch as the platform learns from each new scenario.
Cross-border flows and transmission constraints are modelled explicitly, so prices reflect real physical limits rather than a simplified zonal average.
From Nordic power hubs to Iberian renewables, map generation, demand and interconnection across Europe’s power markets, starting from a fully live Great Britain model.
Built to be trusted
Every output is broken down into the cost drivers behind it and logged in full. A domain expert can open the numbers and agree they’re right.
You define the capacity and demand assumptions, and the model prices the outcome. Every run logs exactly what produced it, with full reproducibility.
Full Monte Carlo probability ranges replace the high, central and low buckets legacy tools rely on. See the whole range of outcomes, not three points on it.
Use cases
Underwrite renewable, storage and thermal investments against full price distributions, not a single central case, so capital committees see the real range of outcomes.
Stress-test portfolios against thousands of Monte Carlo price paths to quantify exposure to fuel, carbon and weather risk before it hits the book.
Price power purchase agreements and value generation assets against a transparent, auditable forward curve that any counterparty can interrogate.
Model the market impact of capacity mechanisms, carbon policy and network reform before they’re implemented, with every assumption fully traceable.
European view
Nixa Energy models power markets across the continent, starting from a fully live Great Britain base and expanding zone by zone as each market comes online.