This paper presents selected results from a recently completed research project for the Electric Power Research Institute. One component of the project was intended to develop and test methodologies for gathering data on how utility customers value service reliability, as measured by either the cost of outages or the willingness to pay for reliability. Another component of this project involved a survey of current and emerging reliability planning practices in the North American utility industry, especially regarding interest in "value-based reliability planning." The paper highlights the results of the survey, including the survey design and methodology. It also briefly discusses potential applications of interruption costs in generation and composite system reliability planning.
This paper examines stochastic processes generated'by sequential games each of whose "states" includes a distribution and whose up-dating rules for state transitions may include Bayes operators. General properties of discrete-time Markov processes are applied to specific games such as iterated matrix games, including Prisoners' Dilemma, and to a new model for the Asch experiments on conflict and conformity.
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