A general, physically based, probabilistic model of power system load has been developed [1]. The model is suitable for short-term prediction of system demand by composition, and accounts for lifestyle dependency and weather dependency as well as effects of other exogenous processes. The conceptual framework and notation applicable to a wide range of load modeling problems have been the key issues in developing a general model.
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Ihara et al. (1981) studied this question.
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