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The conventional means of assessing the performance of a wind turbine is through consideration of its power curve which provides the relationship between power output and measured wind speed. In this paper it is shown how the joint probability distribution of power and wind speed can be learned from data, rather than from examination of the implied function of the two variables. Such an approach incorporates measures of uncertainty into performance estimates, allows interplant performancedoi:10.1109/tpwrs.2010.2073550 fatcat:ifmoyf5khrby3og6kdfdlvxw34