SolarRadnet: A novel variant input scoring optimized recurrent neural network for solar irradiance prediction-Reference-Cited by-同舟云学术

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SolarRadnet: A novel variant input scoring optimized recurrent neural network for solar irradiance prediction

Published:2022-11-13 Issue:4 Volume:44 Page:10156-10180
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Abdalrahman Alameen E. M.¹,Ahamad Danish²,Md Mobin Akhtar³,Gasmi Karim¹

Affiliation:

1. Department of Computer Science, College of Arts and Sciences at Tabarjal, Jouf University, Sakaka, Saudi Arabia

2. Department of Computer Science, College of Science & Arts, Shaqra University, Shaqra, Saudi Arabia

3. Department of Basic Sciences, Riyadh Elm University, Riyadh, Saudi Arabia

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2022.2143947

Reference35 articles.

1. Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs

2. Solar Irradiance Forecasting Using Deep Neural Networks

3. Data Normalisation-Based Solar Irradiance Forecasting Using Artificial Neural Networks

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