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机译:多模型集成,可提前预测光伏发电量
Univ Roma Tor Vergata, Dept Enterprise Engn, Via Politecn 1, I-00133 Rome, Italy|EURAC Res, Inst Renewable Energy, Viale Druso 1, I-39100 Bolzano, Italy;
Univ Roma Tor Vergata, Dept Enterprise Engn, Via Politecn 1, I-00133 Rome, Italy;
Casaccia RC, ENEA Climate Modelling Lab, Rome, Italy;
Ideam Srl, Via Frova 34, Cinisello Balsamo, Italy;
EURAC Res, Inst Renewable Energy, Viale Druso 1, I-39100 Bolzano, Italy;
Ideam Srl, Via Frova 34, Cinisello Balsamo, Italy;
Ideam Srl, Via Frova 34, Cinisello Balsamo, Italy;
Univ Roma Tor Vergata, Dept Enterprise Engn, Via Politecn 1, I-00133 Rome, Italy|Univ Roma Tor Vergata, CHOSE, Via Politecn 1, I-00133 Rome, Italy;
Photovoltaics power forecasting; Day-ahead PV forecasts; Ensemble prediction; Probabilistic forecast; Error metrics; Data-driven models; NWP models;
机译:一种混合型K-MEAR-GRA-SVR模型,基于光伏发电的日前预测特征选择
机译:使用多种相关和目标变量预测模式的基于注意力的CNN-LSTM神经网络预测的一天前一小时的光伏电力预测
机译:基于点预测方法基于多区域光伏植物的现代电力输出的自动机器学习
机译:多模型集合,PV Power预测改进
机译:用于季节气候预测的多模型集合分析。
机译:使用多模型集合的气候概率预测:从基础到应用
机译:兼容辐照度不确定性的日队电力市场中分布式太阳能光伏发电优化