Chronological Influences of the Variance of Electric Power Production Costs
作者： Sarah M. Ryan , Mainak Mazumdar
关键词: Computation 、 Applied mathematics 、 Demand forecasting 、 Interval (mathematics) 、 Variance (accounting) 、 Electric power 、 Expression (computer science) 、 Markov process 、 Mathematics 、 Electrical network 、 Econometrics 、 Management Science and Operations Research 、 Computer Science Applications
摘要: The cost of producing electric power at a given time depends on the demand and set generating units that are available. We present Markovian model generation system together with deterministic, time-varying function yields stochastic integral for production over interval. variance this may be computed exactly by enumerating states. An expression integrand is developed in which deterministic variation decoupled from variation. This amenable to an asymptotic approximation reduces computation. When state transition rates high, little accuracy lost. exact approximate results compared several parameter values small example system.
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