Deep learning-based multistep ahead wind speed and power generation forecasting using direct method-Reference-Cited by-同舟云学术

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Deep learning-based multistep ahead wind speed and power generation forecasting using direct method

Published:2023-04 Issue: Volume:281 Page:116760
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Yaghoubirad Maryam,Azizi Narjes,Farajollahi Meisam,Ahmadi Abolfazl

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference56 articles.

1. Modeling of solar energy systems using artificial neural network: a comprehensive review;Elsheikh;Sol Energy,2019

2. Modeling of a solar-powered thermoelectric air-conditioning system using a random vector functional link network integrated with jellyfish search algorithm;Almodfer;Case Stud Therm Eng,2022

3. Global Wind Energy Council. https://gwec.net/global-wind-report-2022/.

4. Sulfides as a new class of stable cost-effective materials compared to organic/inorganic hole transport materials for perovskite solar cells;Nazeri;Ceram Int,2022

5. 4E analysis of the horizontal axis wind turbine with LCA consideration for different climate conditions;Jahromi;Energy Sci Eng,2022

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