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- W4328129778 abstract "Some form of correction to the short-term data is required to provide a robust estimate of the long-term wind speed. The most common way to do this is to correlate the short-term onsite data with a source of data which is: concurrent, available for a long-term period, and shows a good statistical correlation with the short-term data. This chapter presents a review of statistical spatial interpolation and temporal extrapolation techniques. A frequently used method to adjust short-term data to correct for long-term variation is that known as measure–correlate–predict (MCP). An alternative to MCP is to use a method based on analogue ensembles. The method aims to reconstruct every time step in the long-term period based on analogues in the short-term period." @default.
- W4328129778 created "2023-03-22" @default.
- W4328129778 date "2023-03-11" @default.
- W4328129778 modified "2023-09-26" @default.
- W4328129778 title "Statistical Methods" @default.
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- W4328129778 doi "https://doi.org/10.1002/9781119055402.ch8" @default.
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