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Probabilistic Load Forecasting via Point Forecast Feature Integration

机译:通过点预测特征集成进行概率负荷预测

摘要

System and methods are disclosed to forecast electrical loads in an energy grid with a processor to receive load information from the energy grid; and a two-stage probabilistic load forecasting unit with integrated point forecast as a probabilistic load forecasting (PLF), including: a first stage where predetermined features are utilized to train a point forecast model and obtain the feature importance; and a second stage where the forecasting model is trained, taking into consideration point forecast features.
机译:公开了用于通过处理器来预测能量网格中的电负载以从能量网格接收负载信息的系统和方法。二阶段概率负荷预测单元,其将积分点预测作为概率负荷预测(PLF),包括:第一阶段,利用预定特征训练点预测模型并获得特征重要性;第二阶段是训练预测模型,其中要考虑点预测特征。

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