Comparison of Utility and Joint Intervenor Approaches on an evaluation of the Joint Intervenor model and deeper understanding of utility risk management frameworks, the following table is a comparison of Utility Risk Evaluation Formulas and Risk Frameworks and the Joint Intervenors Framework: (SED Staff Report at 64, slightly modified based on comments.) Comparison of Utility Risk Evaluation Formulas and Risk Frameworks Joint PG&E SCE Sempra Intervenors Risk Management Framework Risk framework on Enterprise Risk yes yes yes yes Management impact dimensions to be defined consider shareholder by the utility yes yes yes interests and/or financial or performance Commission Input Type no, only where predominantly yes yes yes observed SMEestimated inputs data is unavailable Indexing method on partially yes, but no, uses frequency score allows for continuous, yes no selection(whole override with linearscale integeronly inputs, 1 to 7) actual frequency frequency Indexing method on consequence score selections (whole yes yes yes no integeronly logscale inputs, 1 to 7) Frequency model uses number of frequency actual 7 7 7 levels likelihood or probability model uses representative position not applicable, right hand of fixed point value actual within logscale frequency uses linear range from each range likelihood or range scale frequency probability
Comparison of Utility and Joint Intervenor Approaches on an evaluation of the Joint Intervenor model and deeper understanding of utility risk management frameworks, the following table is a comparison of Utility Risk Evaluation Formulas and Risk Frameworks and the Joint Intervenors Framework: (SED Staff Report at 64, slightly modified based on comments.) Comparison of Utility Risk Evaluation Formulas and Risk Frameworks PG&E SCE Sempra Joint Intervenors Risk Management Framework Risk framework on Enterprise Risk Management yes yes yes yes impact dimensions consider shareholder interests and/or financial performance yes yes yes to be defined by the utility or Commission Input Type predominantly SMEestimated inputs yes yes yes no, only where observed data is unavailable Indexing method on frequency score selection(whole integeronly inputs, 1 to 7) partially yes, but allows for override with actual frequency no, uses continuous, linearscale frequency yes no Indexing method on consequence score selections (whole integeronly logscale inputs, 1 to 7) yes yes yes no Frequency number of frequency levels 7 7 7 model uses actual likelihood or probability representative position within logscale frequency range right hand of range not applicable, uses linear scale frequency fixed point value from each range model uses actual likelihood or probability
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