The DOI matches its Crossref record; 30 of the 31 references it cites were found in a registry or an index.
Machine learning for solar irradiance forecasting of photovoltaic system
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Claims other papers make about this one
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In the citing paper
“To date, many ML methods have been used to forecast electricity supply and demand.”
From Tackling climate change with machine learning (2023) · cites this paper as [478]
Citations
Cites
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Maier, H. R., & Dandy, G. C. (2000) · Environmental Modelling & Software · doi:10.1016/s1364-8152(99)00007-9 · Cited by 2,432
An introduction to genetic algorithms
Deb, K. (1999) · Sadhana · doi:10.1007/bf02823145 · Cited by 1,180
Artificial intelligence techniques for photovoltaic applications: A review
Mellit, A., & Kalogirou, S. A. (2008) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2008.01.001 · Cited by 1,069
Mellit, A., & Pavan, A. M. (2010) · Solar Energy · doi:10.1016/j.solener.2010.02.006 · Cited by 908
Review of solar irradiance forecasting methods and a proposition for small-scale insular grids
Diagne, M., David, M., Lauret, P., Boland, J. W., & Schmutz, N. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.06.042 · Cited by 808
Elements of the theory of Markov processes and their applications
(1960) · Journal of the Franklin Institute · doi:10.1016/0016-0032(60)90686-4 · Cited by 734
AN INTRODUCTION TO HIDDEN MARKOV MODELS AND BAYESIAN NETWORKS
Ghahramani, Z. (2001) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001401000836 · Cited by 716
Rainfall forecasting in space and time using a neural network
French, M. N., Krajewski, W. F., & Cuykendall, R. (1992) · Journal of Hydrology · doi:10.1016/0022-1694(92)90046-x · Cited by 706
Sfetsos, A., & Coonick, A. H. (2000) · Solar Energy · doi:10.1016/s0038-092x(99)00064-x · Cited by 378
Research works printed but not linked: 2
- Wall, 2013, An application of a soft real-time genetic algorithm for HVAC system control, Int. J. Emerg. Trends Technol. Comput. Sci. IJETTCS, 2, 424
- Rabiner, 1989, A tutorial on hidden Markov models and selected applications in speech recognition, Proc. IEEE, 77, 257, 10.1109/5.18626 · DOI · Paper page
Cited by
Sorted by citations
Zendehboudi, A., Baseer, M. A., & Saidur, R. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.07.164 · Cited by 635
Yang, D., Kleissl, J. P., Gueymard, C. A., Pedro, H. T. C., & Coimbra, C. F. M. (2018) · Solar Energy · doi:10.1016/j.solener.2017.11.023 · Cited by 584
Hossain, E., Khan, I., Un-Noor, F., Sikander, S. S., & Sunny, M. S. H. (2019) · IEEE Access · doi:10.1109/access.2019.2894819 · Cited by 536
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 463
Benti, N. E., Chaka, M. D., & Semie, A. G. (2023) · Sustainability · doi:10.3390/su15097087 · Cited by 470
Metadata
- Authors
- Li, J., Ward, J. K., Tong, J., Collins, L., & Platt, G.
- Affiliations
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Corresponding author
- Li, Jiaming
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 90
- Pages
- 542-553
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W2287933588
- Cited by
- 186
- References
- 31
- Citations by year
- 2026: 10 · 2025: 20 · 2024: 28 · 2023: 27 · 2022: 24 · 2021: 25 · 2020: 13 · 2019: 12 · 2018: 14 · 2017: 10 · 2016: 3
- FWCI
- 10.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Renewable Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Australian Renewable Energy Agency
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Solar Radiation and Photovoltaics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Load and Power Forecasting
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Photovoltaic System Optimization Techniques
- Keywords
- solar irradiance forecasting, photovoltaic systems, short-term forecasting, hidden Markov models, support vector regression, distributed generation, forecast performance comparison
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