A 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, 25.01.2022.

Research output: Contribution to journalArticlepeer-review

Forthcoming

Standard

A 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, 25.01.2022.

Research output: Contribution to journalArticlepeer-review

Harvard

APA

Vancouver

Author

BibTeX

@article{84509b8e69584599a4152a0f93c960c0,
title = "A 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 = jan,
day = "25",
language = "English",
journal = "Journal of Modern Power Systems and Clean Energy",
issn = "2196-5420",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - A 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 - 2022/1/25

Y1 - 2022/1/25

M3 - Article

JO - Journal of Modern Power Systems and Clean Energy

JF - Journal of Modern Power Systems and Clean Energy

SN - 2196-5420

ER -