Transformer area weight and overload prediction method and device, model training method and device and computer equipment

The invention relates to a transformer area weight and overload prediction method and device, a model training method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a transformer area reference data set; the transformer area reference data se...

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Bibliographische Detailangaben
Hauptverfasser: LEI QIANG, HAN TINGYU, LONG QINGLIN, ZHANG CHENGDONG, CAO XI, WANG XUECHUN, ZHANG XIANMEI, DAI YUZHUO
Format: Patent
Sprache:chi ; eng
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Beschreibung
Zusammenfassung:The invention relates to a transformer area weight and overload prediction method and device, a model training method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a transformer area reference data set; the transformer area reference data set comprises a limit data set and an influence factor data set of the transformer area in a specified time period; carrying out abnormal data identification and correction on the transformer area reference data set by adopting an isolated forest algorithm to obtain a training data set and a test data set; performing feature analysis and feature extraction on the training data set and the test data set to obtain a training feature data set and a test feature data set, and adding an influence factor data set into the training feature data set and the test feature data set; wherein the training feature data set comprises negative samples; and negative samples in the training feature data set are enhanced, and a transfo