Such results can then be used in probabilistic forecasting of a given ionospheric variable due to specific solar wind conditions.
In this work, a new hybrid model for short-term power forecasting of a grid-connected photovoltaic plant is introduced.
A heuristic is proposed for the forecasting of a lower bound on the irremovable error due to these limitations.
Usually, for the wind power forecasting of a big wind farm, a representative wind speed (such as a spatial average wind speed) should be forecasted whether based on the time series method or NWP method.
Furthermore, the forecasting results of the weekly prices of cowpea are quite precise in the trend forecasting (whether the price goes up/down), but are less precise in the forecasting of a sudden rising or declining.
A case study of several wind farms has demonstrated that even if the forecasting average wind speed is accurate, the error caused by wind speed spatial dispersion cannot be ignored for the wind power forecasting of a wind farm.
