Simulating meaningful uncertainty for complex energy portfolios
The meaningful uncertainty simulation framework can extract all relevant information contained in market and portfolio data to give energy firms the ability to make informed business 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.
Despite significant methodological, computational and technological advances in market and portfolio energy risk modelling in recent years, many firms are still using ‘first-generation' decision-support simulation models that suffer from known material deficiencies.
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