Multi-Step Wind Power Forecasting with Stacked Temporal Convolutional Network (S-TCN)

Multi-Step Wind Power Forecasting with Stacked Temporal Convolutional Network (S-TCN)

Nowadays, wind power generation has become vital thanks to its advantages in cost, ecological friendliness, enormousness, and sustainability. However, the erratic and intermittent nature of this energy poses significant operational and management difficulties for power systems. Currently, the method...

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Bibliographic Details
Main Authors:	Huu Khoa Minh Nguyen, Quoc-Dung Phan, Yuan-Kang Wu, Quoc-Thang Phan
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Energies
Subjects:	wind power forecasting multi-step prediction similar time series Stacked Temporal Convolutional Network (S-TCN)
Online Access:	https://www.mdpi.com/1996-1073/16/9/3792

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