Power system dispatcher grade evaluation system based on text classification
A power system and grade evaluation technology, applied in the field of grade evaluation system, can solve the problems of consuming a lot of manpower and material resources, low efficiency, and low accuracy, and achieve the effects of reducing manual pressure, solving low efficiency, and improving efficiency
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[0033] A power system dispatcher grade evaluation system based on text classification (see figure 1 ),it includes:
[0034] Data acquisition module: collect dispatcher text data from the database system, and build a training data set;
[0035] Data preprocessing module: preprocess the collected dispatcher text data;
[0036]Model training and fine-tuning module: use the pre-training model BERT to digitize the text representation of the pre-processed text information, connect and build a fully connected network of 1 layer after the BERT model, and perform model training and fine-tuning based on the training data set to obtain a classification model;
[0037] Ability level prediction module: Score the classification model based on the pre-trained model BERT on the test set to test the effect.
[0038] 1) Deep learning models require a large amount of labeled data, but there is no public labeled data set about dispatchers of academic systems in the domestic electric power field...
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