Hybrid Short-Term Load Forecasting Method Based on Empirical Wavelet Transform and Bidirectional Long Short-Term Memory Neural Networks. / Zhang, Xiaoyu; Kuenzel, Stefanie; Colombo, Nicolo; Watkins, Chris.

In: Journal of Modern Power Systems and Clean Energy, 09.08.2022, p. 1216-1228.

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Hybrid Short-Term Load Forecasting Method Based on Empirical Wavelet Transform and Bidirectional Long Short-Term Memory Neural Networks. / Zhang, Xiaoyu; Kuenzel, Stefanie; Colombo, Nicolo; Watkins, Chris.

In: Journal of Modern Power Systems and Clean Energy, 09.08.2022, p. 1216-1228.

Research output: Contribution to journalArticlepeer-review

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@article{84509b8e69584599a4152a0f93c960c0,
title = "Hybrid Short-Term Load Forecasting Method Based on Empirical Wavelet Transform and Bidirectional Long Short-Term Memory Neural Networks",
author = "Xiaoyu Zhang and Stefanie Kuenzel and Nicolo Colombo and Chris Watkins",
year = "2022",
month = aug,
day = "9",
doi = "10.35833/MPCE.2021.000276",
language = "English",
pages = "1216--1228",
journal = "Journal of Modern Power Systems and Clean Energy",
issn = "2196-5420",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Hybrid Short-Term Load Forecasting Method Based on Empirical Wavelet Transform and Bidirectional Long Short-Term Memory Neural Networks

AU - Zhang, Xiaoyu

AU - Kuenzel, Stefanie

AU - Colombo, Nicolo

AU - Watkins, Chris

PY - 2022/8/9

Y1 - 2022/8/9

U2 - 10.35833/MPCE.2021.000276

DO - 10.35833/MPCE.2021.000276

M3 - Article

SP - 1216

EP - 1228

JO - Journal of Modern Power Systems and Clean Energy

JF - Journal of Modern Power Systems and Clean Energy

SN - 2196-5420

ER -