Predicting electric power system restoration

The repair, restoration and emergency response following a loss of power to a facility is treated simply as an integrated learning experience for the management and repair crews. We analyze the complex and real urban power restoration with local distribution line repairs, and also examine the somewhat simpler case of restoration of the main grid power for nuclear generating units that are both supplying and receiving power. These new comparisons confirm: the universality of the learning hypothesis; inseparability of the human from the homo-technological system; and the ability to predict the probability of power restoration by adopting a suitable measure for experience.