IET Smart Grid is a fully open access journal presenting pioneering research results spanning multiple disciplines such as power electronics, power and energy, control, communications, and computing sciences. We aim to pave the way for implementing more efficient, reliable, and secure power systems.

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A deep learning based communication traffic prediction approach for smart monitoring of distributed energy resources in virtual power plants

  •  17 May 2024

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A novel hybrid prediction model based on long short-term memory and variational mode decomposition is proposed to improve the accuracy of short-term virtual power plant (VPP) communication traffic prediction. The proposed model is evaluated through simulation prediction using realistic VPP communication traffic data, and the results demonstrate its effectiveness in enhancing prediction accuracy.

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