WOA-BiLSTM-Attention Model for Short-term Power Load Projection

Author:

Gao Linxin1

Affiliation:

1. Beijing Institute of Technology,Beijing,China

Publisher

IEEE

Reference15 articles.

1. Evolution of structural patterns and power forecasting outlook of high percentage renewable energy power systems[J];Zongxiang;Power System Automation,2017

2. Completion method for missing data of electric load based on improved bidirectional GABP neural network[J];Dehua;Electrical Automation,2022

3. Short-term power load forecasting based on the EEMD-GRU-MLR regression model[J];Daiyu;Grid Technology,2020

4. Short term load forecasting based on ARIMA and ANN approaches

5. Research on the detection method of abnormal power consumption behavior of power users based on improved SVM[J];Lijuan;Electrical Measurement and Instrumentation,2022

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