Real-Time Retrieval Simulation of Multimodal Microgrid Data under Mapping Relationship
Due to the diversity and complexity of microgrid data,it is difficult to mine data features,which re-duces the accuracy of real-time retrieval.In this regard,a real-time retrieval method of multi-mode microgrid data based on mapping relationship is proposed.The Borderline-SMOTE algorithm is used to expand the number of sam-ples of minority classes in the microgrid data category.The extended image information and text information are a-ligned using the circular attention mechanism mapping relationship method,which makes the data retrieval model eas-ier to mine data characteristics.The deep full connection network is used to build a real-time data retrieval network model,and the retrieval results are classified and output by aligning the image and text information.The retrieval re-sults are constrained by the softmax function,so that the output results of the data retrieval model are consistent with the actual needs,and the real-time retrieval accuracy of multi-mode micro grid data is improved,so as to find the fault location of micro grid operation in time.The experimental results show that the data retrieval method based on mapping relationship can accurately find the data matching the actual needs,and shows strong data processing ability.
Borderline-SMOTE algorithmBidirectional GRU encoderMicrogrid dataTransmodal attention ele-mentDeep full connection network
万方数据
维普
