Simulating meaningful uncertainty for complex energy portfolios

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

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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