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By utilizing probabilistic methods to predict and characterize events on the power system in terms of frequency, engineering methods and calculations can then be applied to assess the impact of these predicted events. This leads to a complete appraisal of how often various types of consequences will affect an individual customer's load point. Matching this predictive system performance with the expectations of the customer and the requirements of the customer's equipment yields not only where deficiencies exist, but also how to apply proper and cost-effective solutions for each load point.
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D.L. Sikes (2000) studied this question.
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