The repository contains wind speeds and generation based on three different meteorological models: ERA5, MERRA2, and HRRR. Data are publicly accessible in ...
Figure 10: Same presentation as fig.7, but with the upper and lower bound of the 90% confidence intervals according to t…
This paper describes a wind power forecasting method and its confidence interval estimation. Recently, flat control of w…
In this paper, a general method is proposed to determine the optimal interval forecast of wind power. Firstly, the distr…
Abstract: Short-term wind generation forecasting predicts wind power 24-hours into the future in hourly steps. Effective…
This paper proposes a novel hybrid intelligent algo-rithm approach to directly formulate optimal prediction intervals of…
In this study, the intrinsic properties of rainfall-runoff data with different time intervals are first investigated fro…
This paper presents the implementation of a multi-objective differential evolution (MODE) algorithm for generation of pr…
Here we have considered structural uncertainties arising from wind randomness, and identified speed correlations within …
The repository contains wind speeds and generation based on three different meteorological models: ERA5, MERRA2, and HRR…
The PLUSWIND repository provides a unified set of hourly wind speed and generation estimates based on information from t…
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