A Variational Autoencoder-Based Dimensionality Reduction Technique for Generation Forecasting in Cyber-Physical Smart Grids

conference contribution

posted on 2024-06-02, 14:14 authored by Devinder Kaur, Shama IslamShama Islam, MA Mahmud

A Variational Autoencoder-Based Dimensionality Reduction Technique for Generation Forecasting in Cyber-Physical Smart Grids

History

Pagination

1-6

Location

Montreal, Quebec

Start date

2021-06-14

End date

2021-06-23

ISBN-13

9781728194417

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

ICC 2021 : Proceedings of the IEEE International Conference on Communications

Event

Communications. Conference (2021 : Montreal, Quebec)

Publisher

IEEE

Place of publication

Piscataway, N.J.

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Categories

Electrical engineering not elsewhere classified

Keywords

deep learning Dimensionality reduction energy forecasting posterior approximation renewable energy generation VAE-BiLSTM 4008 Electrical engineering 4009 Electronics, sensors and digital hardware

Licence

All Rights Reserved

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