Deep Learning-Assisted Short-Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU

Deep Learning-Assisted Short-Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU

Over the decades, a rapid upsurge in electricity demand has been observed due to overpopulation and technological growth. The optimum production of energy is mandatory to preserve it and improve the energy infrastructure using the power load forecasting (PLF) method. However, the complex energy syst...

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Bibliographic Details
Main Authors:	Fath U Min Ullah, Amin Ullah, Noman Khan, Mi Young Lee, Seungmin Rho, Sung Wook Baik
Format:	Article
Language:	English
Published:	Wiley 2022-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2022/2993184
Tags:	Add Tag No Tags, Be the first to tag this record!

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