2019 ENERGY RISK MODELLING USING @RISK SOFTWARE

Benefits:

• Detailed risk analysis.
• Considerably more risk analysis alternatives
• Informed decision making ability
• Excellent corrective actions.
• Enhanced data mining;
• Interactive and results and out  and more

Techniques include:

• Exploring the @RISK environment
• Automatically generating meaningful information using the @RISK statistics functions
• Using confidence levels (percentiles) to quantify the likelihood of an outcome.
• Adding uncertainty to deterministic models
• Justifying expert opinion using Alternate Parameters
• Policy comparison
• Correlation – its importance and implementation

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