The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
A support vector machine–firefly algorithm-based model for global solar radiation prediction
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Shamshirband, S., Petković, D., Saboohi, H., Anuar, N. B., Inayat, I., Akib, S., Ćojbašić, Ž., Nikolić, V., Kiah, M. L. M., & Gani, A. (2014) · Energy Conversion and Management · doi:10.1016/j.enconman.2014.02.055 · Cited by 55
Self-citationRetractedThe Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Wu, Y. (1999) · Technometrics · doi:10.1080/00401706.1999.10485951 · Cited by 27,221
Genetic Programming: On the Programming of Computers by Means of Natural Selection
Koza, J. R. (1992) · Medical Entomology and Zoology · Cited by 13,082
The Nature of Statistical Learning Theory
Vapnik, V. N. (2000) · Springer eBooks · doi:10.1007/978-1-4757-3264-1 · Cited by 10,696
A Practical Guide to Support Vector Classication
Hsu, C., Chang, C.-C., & Lin, C. (2008) · Cited by 5,046
Gardner, M. W., & Dorling, S. R. (1998) · Atmospheric Environment · doi:10.1016/s1352-2310(97)00447-0 · Cited by 3,324
Firefly algorithm, stochastic test functions and design optimisation
Yang, X. S. (2010) · International Journal of Bio-Inspired Computation · doi:10.1504/ijbic.2010.032124 · Cited by 2,729
Choosing Multiple Parameters for Support Vector Machines
Chapelle, O., Vapnik, V., Bousquet, O., & Mukherjee, S. (2002) · Machine Learning · doi:10.1023/a:1012450327387 · Cited by 2,206
Estimating Potential Evapotranspiration
Hargreaves, G. H., & Samani, Z. A. (1982) · Journal of the Irrigation and Drainage Division · doi:10.1061/jrcea4.0001390 · Cited by 1,879
Cited by
Solar photovoltaic generation forecasting methods: A review
Sobri, S., Koohi-Kamali, S., & Rahim, N. A. (2018) · Energy Conversion and Management · doi:10.1016/j.enconman.2017.11.019 · Cited by 990
Fan, J., Wang, X., Wu, L., Zhou, H., Zhang, F., Yu, X., Lu, X., & Xiang, Y. (2018) · Energy Conversion and Management · doi:10.1016/j.enconman.2018.02.087 · Cited by 641
Zendehboudi, A., Baseer, M. A., & Saidur, R. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.07.164 · Cited by 614
Deep learning models for solar irradiance forecasting: A comprehensive review
Kumari, P., & Toshniwal, D. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.128566 · Cited by 445
Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Zendehboudi, S., Rezaei, N., & Lohi, A. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.06.051 · Cited by 394
Metadata
- Authors
- Olatomiwa, L., Mekhilef, S., Shamshirband, S., Mohammadi, K., Petković, D., & Sudheer, C.
- Venue
- Solar Energy
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 115
- Pages
- 632-644
- ISSN
- 0038-092X (ISSN-L)
- OpenAlex
- W2044451649
- Cited by
- 356
- References
- 41
- FWCI
- 33.16
- Type
- journal article
- Language
- en
- Open access
- closed
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: A support vector machine–firefly algorithm-based model for global solar radiation prediction. https://app.cochat.ai/papers/10.1016/j.solener.2015.03.015
- The paper
- Olatomiwa, L., Mekhilef, S., Shamshirband, S., Mohammadi, K., Petković, D., & Sudheer, C. (2015). A support vector machine–firefly algorithm-based model for global solar radiation prediction. Solar Energy. https://doi.org/10.1016/j.solener.2015.03.015
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
