From: Probabilistic upscaling and aggregation of wind power forecasts

Variable | Meaning | Input for |
---|---|---|

x_{t} | Wind speed at hub height for a given time step t | Probabilistic forecasts |

y_{t} | Observed power of the wind farm a given time step t | Probabilistic forecasts, calibration |

\(q^{(i)}_{\alpha,t}\) | Probabilistic forecast of a reference wind farm i for a given time step t and a given quantile α | Determining the copula, calibration |

\(y^{(i)}_{\text {ref},t}\) | Observed power of the reference wind farm i for a given time step t | Determining the copula |

d_{i,j} | Distance between wind farm i and j | Upscaling |

d^{eff} | Effective distance vector, i.e., a scaled distance allowing to tune relative contribution | Calibration |