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Numerical Heat Transfer, Part B: Fundamentals
An International Journal of Computation and Methodology
Volume 76, 2019 - Issue 1
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Original Articles

Soft computing methods for predicting daily global solar radiation

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Pages 18-31 | Received 25 Feb 2019, Accepted 25 Jun 2019, Published online: 10 Jul 2019

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Read on this site (3)

Xinhua Xue. (2020) Daily diffuse solar radiation estimation using adaptive neuro-fuzzy inference system technique. Numerical Heat Transfer, Part B: Fundamentals 77:2, pages 138-151.
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Rohit Sharma, Manoj Kumar Mishra, Kuracha Nirisha, Vatukuru Nagaradhika & Ali J. Chamkha. Thermal radiation effect on the Maxwell graphene based nanofluid passing through a squeezing channel. Numerical Heat Transfer, Part B: Fundamentals 0:0, pages 1-16.
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Huayang Wu, Jiejing Li, Haixu Liu & Dunwen Zuo. Modeling and solving of temperature field of screw–nut pair based on geometric error distribution probability. Numerical Heat Transfer, Part B: Fundamentals 0:0, pages 1-32.
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Articles from other publishers (5)

Rana Muhammad Adnan Ikram, Hong-Liang Dai, Ahmed A. Ewees, Jalal Shiri, Ozgur Kisi & Mohammad Zounemat-Kermani. (2022) Application of improved version of multi verse optimizer algorithm for modeling solar radiation. Energy Reports 8, pages 12063-12080.
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Yue Jia, Yongjun Su, Ran Zhang, Zhaona Zhang, Yukuo Lu, Dongxu Shi, Chaoqian Xu & Dongfeng Huang. (2022) Optimization of an extreme learning machine model with the sparrow search algorithm to estimate spring maize evapotranspiration with film mulching in the semiarid regions of China. Computers and Electronics in Agriculture 201, pages 107298.
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Roozbeh Moazenzadeh, Babak Mohammadi, Zheng Duan & Mahdi Delghandi. (2022) Improving generalisation capability of artificial intelligence-based solar radiation estimator models using a bio-inspired optimisation algorithm and multi-model approach. Environmental Science and Pollution Research 29:19, pages 27719-27737.
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Yong Zhou, Yanfeng Liu, Dengjia Wang, Xiaojun Liu & Yingying Wang. (2021) A review on global solar radiation prediction with machine learning models in a comprehensive perspective. Energy Conversion and Management 235, pages 113960.
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Huihui Yu, Ling Yang, Daoliang Li & Yingyi Chen. (2021) A hybrid intelligent soft computing method for ammonia nitrogen prediction in aquaculture. Information Processing in Agriculture 8:1, pages 64-74.
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