Privacy-preserving distributed parameter estimation for probability distribution of wind power forecast error
نویسندگان
چکیده
منابع مشابه
Wind Power Forecast Error Simulation Model
One of the major difficulties introduced with wind power penetration is the inherent uncertainty in production originating from uncertain wind conditions. This uncertainty impacts many different aspects of power system operation, especially the balancing power requirements. For this reason, in power system development planing, it is necessary to evaluate the potential uncertainty in future wind...
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Estimating the power output is one of the elements that determine the techno-economic feasibility of a renewable project. At present, there is a need to develop reliable methods that achieve this goal, thereby contributing to wind power penetration. In this study, we propose a method for wind power error estimation based on the wind speed measurement error, probability density function, and win...
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Recent technological advances enable the collection of huge amounts of data. Commonly, these data are generated, stored, and owned by multiple entities that are unwilling to cede control of their data. This distributed environment requires statistical tools that can produce correct results while preserving data privacy. Privacy-preserving protocols have been proposed to solve specific statistic...
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ژورنال
عنوان ژورنال: Renewable Energy
سال: 2021
ISSN: 0960-1481
DOI: 10.1016/j.renene.2020.06.102