Simulating meaningful uncertainty for complex energy portfolios

The meaningful uncertainty simulation framework can enable energy firms to make better decisions


Monte Carlo simulation is a tool used widely to assess the physical and financial uncertainty of energy portfolios due to changes in key risk drivers under different possible states of the world