Comparison of the advanced machine learning methods for better prediction accuracy of solar radiation using only temperature data: A case study-Reference-Cited by-同舟云学术

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Comparison of the advanced machine learning methods for better prediction accuracy of solar radiation using only temperature data: A case study

Published:2021-10-02 Issue: Volume: Page:
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Intl J of Energy Research

Author:

Mirbolouki Amin¹,Heddam Salim²^ORCID,Singh Parmar Kulwinder³,Trajkovic Slavisa⁴,Mehraein Mojtaba¹^ORCID,Kisi Ozgur⁵

Affiliation:

1. Faculty of Engineering Kharazmi University Tehran Iran

2. Faculty of Science, Agronomy Department Hydraulics Division University Skikda Algeria

3. Department of Mathematics IKG Punjab Technical University Kapurthala India

4. Faculty of Civil Engineering & Architecture University of Nis Nish Serbia

5. School of Technology Ilia State University Tbilisi Georgia

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.7341

Reference89 articles.

1. Diurnal thermal evaluation of an evacuated tube solar collector (ETSC) charged with graphene nanoplatelets-methanol nano-suspension

2. Potential of Solar Collectors for Clean Thermal Energy Production in Smart Cities using Nanofluids: Experimental Assessment and Efficiency Improvement

3. Energy and exergy analysis for stationary solar collectors using nanofluids: A review

4. Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms

5. A Novel Hybrid Model for Solar Radiation Forecasting Using Support Vector Machine and Bee Colony Optimization Algorithm: Review and Case Study

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4. Development of a cyber physical production system framework for 3D printing analytics;Applied Soft Computing;2023-10

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