Machine Learning Based Computationally Efficient Approach for Accurate Prediction of Power Integrity Performance of Power Distribution Networks

Bera, Aprajita; Mande, Sudhakar

doi:10.1109/vdat63601.2024.10705749

2024 28th International Symposium on VLSI Design and Test (VDAT) 2024

DOI: 10.1109/vdat63601.2024.10705749

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Machine Learning Based Computationally Efficient Approach for Accurate Prediction of Power Integrity Performance of Power Distribution Networks

Aprajita Bera,

Sudhakar Mande

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Modeling and optimization of power distribution network using response surface methodology for power integrity analysis

Bera,

Mande

2025

AEU - International Journal of Electronics and Communications

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Modeling and optimization of power distribution network using response surface methodology for power integrity analysis

Bera,

Mande

2025

AEU - International Journal of Electronics and Communications

View full text Add to dashboard Cite

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Machine Learning Based Computationally Efficient Approach for Accurate Prediction of Power Integrity Performance of Power Distribution Networks

Cited by 1 publication

References 16 publications

Modeling and optimization of power distribution network using response surface methodology for power integrity analysis

Modeling and optimization of power distribution network using response surface methodology for power integrity analysis

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