An Interpretable Data-Driven Dynamic Operating Envelope Calculation Method Based on an Improved Deep Learning Model

An Interpretable Data-Driven Dynamic Operating Envelope Calculation Method Based on an Improved Deep Learning Model

As the integration of distributed energy resources (DERs) continues to rise, the simultaneous import and export of energy can lead to excessive voltage violations. Therefore, calculating dynamic operating envelopes (DOEs), which represent time-varying export restrictions, is essential for ensuring t...

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Bibliographic Details
Main Authors: Yun Li, Tunan Chen, Jianzhao Liu, Zhaohua Hu, Yuchen Qi, Ye Guo
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
Subjects:
convolutional neural networks
distributed energy resources
dynamic operating envelopes
long short-term memory networks
SHAP
Online Access:https://www.mdpi.com/1996-1073/18/10/2529
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