Generated power prediction method and device, computer equipment and storage medium

The invention relates to a power generation power prediction method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring meteorological characteristic data of which the correlation degree with generation power is greater...

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Main Authors LI ZHUOHUAN, MA XIYUAN, LI PENG, CHEN YANSEN, ZHOU CHANGCHENG, ZHANG ZIHAO, CHENG KAI, ZHOU YUE, YAO SENJING, CHEN YUANFENG, BAO TAO
Format Patent
LanguageChinese
English
Published 28.06.2022
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Summary:The invention relates to a power generation power prediction method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring meteorological characteristic data of which the correlation degree with generation power is greater than a preset boundary value; and inputting the meteorological characteristic data into a generated power prediction model, outputting predicted generated power through the generated power prediction model, and setting the generated power prediction model to be obtained by training according to a corresponding relation between sample meteorological characteristic data and the generated power. The method can improve the precision of the generated power prediction model, and facilitates the formulation and adjustment of a scheduling plan of a subsequent power system. 本公开涉及一种发电功率的预测方法、装置、计算机设备、存储介质和计算机程序产品。所述方法包括:获取与发电功率相关度大于预设边界值的气象特征数据;将所述气象特征数据输入至发电功率预测模型,经所述发电功率预测模型输出预测的发电功率,其中,所述发电功率预测模型被设置为根据样本气象特征数据与发电功率的对应关系训
Bibliography:Application Number: CN202210338291