Vertical wind speed extrapolation model using long short‐term memory and particle swarm optimization-Reference-Cited by-同舟云学术

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Vertical wind speed extrapolation model using long short‐term memory and particle swarm optimization

Published:2022-08-23 Issue:12 Volume:10 Page:4580-4594
ISSN:2050-0505
Container-title:Energy Science & Engineering
language:en
Short-container-title:Energy Science & Engineering

Author:

Al‐Shaikhi Ali¹,Nuha Hilal²^ORCID,Mohandes Mohamed¹³,Rehman Shafiqur³^ORCID,Adrian Monterico²

Affiliation:

1. Electrical Engineering Department King Fahd University of Petroleum & Minerals (KFUPM) Dhahran Saudi Arabia

2. HUMIC, School of Computing Telkom University Bandung Indonesia

3. Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC‐REPS), KFUPM Dhahran Saudi Arabia

Funder

King Fahd University of Petroleum and Minerals

Publisher

Wiley

Subject

General Energy,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.1291

Reference27 articles.

1. GWEC. Global Wind Report 2021—Annual Market Update (GWEC‐2021). 2020. Accessed February 22 2022.https://gwec.net/global-wind-report-2022/

2. Calculation of Wind Speed Variation with Height over the Sea

3. The Impacts of Atmospheric Stability on the Accuracy of Wind Speed Extrapolation Methods

4. Bañuelos‐RuedasF Angeles‐CamachoC Rios‐MarcuelloS. Methodologies used in the extrapolation of wind speed data at different heights and its impact in the wind energy resource assessment in a region. In:Wind Farm—Technical Regulations Potential Estimation and Siting Assessment.2011. Accessed August 20 2022.https://doi.org/10.5772/20669

5. Short-term prediction of wind power density using convolutional LSTM network

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