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Related Experiment Videos

Electric power data element trading price prediction model based on improved grid VMD Resnet-BiLSTM algorithm

Yingkai Zheng¹, Kang Qian Huang², Jiajun Liu²

¹Guangdong Power Exchange Center, Guangzhou, 510699, Guangdong, China. yingkaizhenggdpec@126.com.

Scientific Reports

|March 17, 2026

Summary

No abstract available in PubMed .

Keywords:

Bidirectional long short-term memory neural network Electricity price prediction Intrinsic mode function Maximum mutual information coefficient Residual shrinkage network Variational mode decomposition

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Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk, phase angle δk, real power Pk, and reactive power Qk. Two of these four variables are inputs, while the power flow program computes...

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