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Solar Radiation Forecasting: A Systematic Meta-Review of Current Methods and Emerging Trends. (2024). Nazarko, Ukasz ; Rabayah, Hesham S ; Chodakowska, Ewa.
In: Energies.
RePEc:gam:jeners:v:17:y:2024:i:13:p:3156-:d:1422744.

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  1. Ahmed, R.; Sreeram, V.; Mishra, Y.; Arif, M.D. A Review and Evaluation of the State-of-the-Art in PV Solar Power Forecasting: Techniques and Optimization. Renew. Sustain. Energy Rev. 2020, 124, 109792. [CrossRef]
    Paper not yet in RePEc: Add citation now
  2. Alkhayat, G.; Mehmood, R. A Review and Taxonomy of Wind and Solar Energy Forecasting Methods Based on Deep Learning. Energy AI 2021, 4, 100060. [CrossRef]
    Paper not yet in RePEc: Add citation now
  3. André, M.; Dabo-Niang, S.; Soubdhan, T.; Ould-Baba, H. Predictive Spatio-Temporal Model for Spatially Sparse Global Solar Radiation Data. Energy 2016, 111, 599–608. [CrossRef]

  4. Antonanzas, J.; Osorio, N.; Escobar, R.; Urraca, R.; Martinez-de-Pison, F.J.; Antonanzas-Torres, F. Review of Photovoltaic Power Forecasting. Sol. Energy 2016, 136, 78–111. [CrossRef]
    Paper not yet in RePEc: Add citation now
  5. Assaf, A.M.; Haron, H.; Abdull Hamed, H.N.; Ghaleb, F.A.; Qasem, S.N.; Albarrak, A.M. A Review on Neural Network Based Models for Short Term Solar Irradiance Forecasting. Appl. Sci. 2023, 13, 8332. [CrossRef]
    Paper not yet in RePEc: Add citation now
  6. Ayvazoğluyüksel, Ö.; Filik, Ü.B. Estimation Methods of Global Solar Radiation, Cell Temperature and Solar Power Forecasting: A Review and Case Study in Eskişehir. Renew. Sustain. Energy Rev. 2018, 91, 639–653. [CrossRef]
    Paper not yet in RePEc: Add citation now
  7. Ballard, M.; Montgomery, P. Risk of Bias in Overviews of Reviews: A Scoping Review of Methodological Guidance and Four-item Checklist. Res. Synth. Methods 2017, 8, 92–108. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  8. Bamisile, O.; Cai, D.; Oluwasanmi, A.; Ejiyi, C.; Ukwuoma, C.C.; Ojo, O.; Mukhtar, M.; Huang, Q. Comprehensive Assessment, Review, and Comparison of AI Models for Solar Irradiance Prediction Based on Different Time/Estimation Intervals. Sci. Rep. 2022, 12, 9644. [CrossRef]
    Paper not yet in RePEc: Add citation now
  9. Barbieri, F.; Rajakaruna, S.; Ghosh, A. Very Short-Term Photovoltaic Power Forecasting with Cloud Modeling: A Review. Renew. Sustain. Energy Rev. 2017, 75, 242–263. [CrossRef]
    Paper not yet in RePEc: Add citation now
  10. Benavides Cesar, L.; Amaro E Silva, R.; Manso Callejo, M..; Cira, C.-I. Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates. Energies 2022, 15, 4341. [CrossRef]
    Paper not yet in RePEc: Add citation now
  11. Chodakowska, E.; Nazarko, J.; Nazarko, Ł. ARIMA Models in Electrical Load Forecasting and Their Robustness to Noise. Energies 2021, 14, 7952. [CrossRef]
    Paper not yet in RePEc: Add citation now
  12. Chodakowska, E.; Nazarko, J.; Nazarko, Ł.; Rabayah, H.S.; Abendeh, R.M.; Alawneh, R. ARIMA Models in Solar Radiation Forecasting in Different Geographic Locations. Energies 2023, 16, 5029. [CrossRef]

  13. Chu, Y.; Li, M.; Coimbra, C.F.M.; Feng, D.; Wang, H. Intra-Hour Irradiance Forecasting Techniques for Solar Power Integration: A Review. iScience 2021, 24, 103136. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  14. Chwiłkowska-Kubala, A.; Malewska, K.; Mierzejewska, K. The Importance of Resources in Achieving the Goals of Energy Companies. Eng. Manag. Prod. Serv. 2023, 15, 53–68. [CrossRef]
    Paper not yet in RePEc: Add citation now
  15. Czakon, W. Metodyka systematycznego przegl ˛ adu literatury. Przegl ˛ ad Organ. 2011, 57–61. [CrossRef]
    Paper not yet in RePEc: Add citation now
  16. De Freitas Viscondi, G.; Alves-Souza, S.N. A Systematic Literature Review on Big Data for Solar Photovoltaic Electricity Generation Forecasting. Sustain. Energy Technol. Assess. 2019, 31, 54–63. [CrossRef]
    Paper not yet in RePEc: Add citation now
  17. Diagne, M.; David, M.; Lauret, P.; Boland, J.; Schmutz, N. Review of Solar Irradiance Forecasting Methods and a Proposition for Small-Scale Insular Grids. Renew. Sustain. Energy Rev. 2013, 27, 65–76. [CrossRef]
    Paper not yet in RePEc: Add citation now
  18. El-Amarty, N.; Marzouq, M.; El Fadili, H.; Bennani, S.D.; Ruano, A. A Comprehensive Review of Solar Irradiation Estimation and Forecasting Using Artificial Neural Networks: Data, Models and Trends. Environ. Sci. Pollut. Res. 2023, 30, 5407–5439. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  19. Erdener, B.C.; Feng, C.; Doubleday, K.; Florita, A.; Hodge, B.-M. A Review of Behind-the-Meter Solar Forecasting. Renew. Sustain. Energy Rev. 2022, 160, 112224. [CrossRef]
    Paper not yet in RePEc: Add citation now
  20. Gaboitaolelwe, J.; Zungeru, A.M.; Yahya, A.; Lebekwe, C.K.; Vinod, D.N.; Salau, A.O. Machine Learning Based Solar Photovoltaic Power Forecasting: A Review and Comparison. IEEE Access 2023, 11, 40820–40845. [CrossRef]
    Paper not yet in RePEc: Add citation now
  21. Gandhi, O.; Zhang, W.; Kumar, D.S.; Rodríguez-Gallegos, C.D.; Yagli, G.M.; Yang, D.; Reindl, T.; Srinivasan, D. The Value of Solar Forecasts and the Cost of Their Errors: A Review. Renew. Sustain. Energy Rev. 2024, 189, 113915. [CrossRef]
    Paper not yet in RePEc: Add citation now
  22. Gates, M.; Gates, A.; Guitard, S.; Pollock, M.; Hartling, L. Guidance for Overviews of Reviews Continues to Accumulate, but Important Challenges Remain: A Scoping Review. Syst. Rev. 2020, 9, 254. [CrossRef] [PubMed] Energies 2024, 17, 3156 25 of 27
    Paper not yet in RePEc: Add citation now
  23. Grubert, E.; Siders, A. Benefits and Applications of Interdisciplinary Digital Tools for Environmental Meta-Reviews and Analyses. Environ. Res. Lett. 2016, 11, 093001. [CrossRef]
    Paper not yet in RePEc: Add citation now
  24. Guermoui, M.; Gairaa, K.; Ferkous, K.; Santos, D.S.D.O.; Arrif, T.; Belaid, A. Potential Assessment of the TVF-EMD Algorithm in Forecasting Hourly Global Solar Radiation: Review and Case Studies. J. Clean. Prod. 2023, 385, 135680. [CrossRef]
    Paper not yet in RePEc: Add citation now
  25. Guermoui, M.; Melgani, F.; Danilo, C. Multi-Step Ahead Forecasting of Daily Global and Direct Solar Radiation: A Review and Case Study of Ghardaia Region. J. Clean. Prod. 2018, 201, 716–734. [CrossRef]
    Paper not yet in RePEc: Add citation now
  26. Guermoui, M.; Melgani, F.; Gairaa, K.; Mekhalfi, M.L. A Comprehensive Review of Hybrid Models for Solar Radiation Forecasting. J. Clean. Prod. 2020, 258, 120357. [CrossRef]
    Paper not yet in RePEc: Add citation now
  27. Gupta, A.; Gupta, K.; Saroha, S. A Review and Evaluation of Solar Forecasting Technologies. Mater. Today Proc. 2021, 47, 2420–2425. [CrossRef]
    Paper not yet in RePEc: Add citation now
  28. Hemavathi, U.; Medona, A.C.V.; Dhilip Kumar, V.; Raja Sekar, R. Review for the Solar Radiation Forecasting Methods Based on Machine Learning Approaches. J. Phys. Conf. Ser. 2021, 1964, 042065. [CrossRef]
    Paper not yet in RePEc: Add citation now
  29. Hennessy, E.A.; Johnson, B.T.; Keenan, C. Best Practice Guidelines and Essential Methodological Steps to Conduct Rigorous and Systematic Meta-Reviews. Appl. Psychol. Health Well-Being 2019, 11, 353–381. [CrossRef]
    Paper not yet in RePEc: Add citation now
  30. Huang, C.-L.; Wu, Y.-K.; Li, Y.-Y. Deterministic and Probabilistic Solar Power Forecasts: A Review on Forecasting Models. In Proceedings of the 2021 7th International Conference on Applied System Innovation (ICASI), Chiayi, Taiwan, 24–25 September 2021; pp. 15–18.
    Paper not yet in RePEc: Add citation now
  31. IEA. Net Zero by 2050; IEA: Paris, Fance, 2021.
    Paper not yet in RePEc: Add citation now
  32. Iheanetu, K.J. Solar Photovoltaic Power Forecasting: A Review. Sustainability 2022, 14, 17005. [CrossRef]
    Paper not yet in RePEc: Add citation now
  33. Inman, R.H.; Pedro, H.T.C.; Coimbra, C.F.M. Solar Forecasting Methods for Renewable Energy Integration. Prog. Energy Combust. Sci. 2013, 39, 535–576. [CrossRef]
    Paper not yet in RePEc: Add citation now
  34. Jing, Y.; Wang, C.; Chen, Y.; Wang, H.; Yu, T.; Shadiev, R. Bibliometric Mapping Techniques in Educational Technology Research: A Systematic Literature Review. Educ. Inf. Technol. 2023, 29, 9283–9931. [CrossRef]
    Paper not yet in RePEc: Add citation now
  35. Krishnan, N.; Kumar, K.R.; Inda, C.S. How Solar Radiation Forecasting Impacts the Utilization of Solar Energy: A Critical Review. J. Clean. Prod. 2023, 388, 135860. [CrossRef]
    Paper not yet in RePEc: Add citation now
  36. Kumar, D.S.; Yagli, G.M.; Kashyap, M.; Srinivasan, D. Solar Irradiance Resource and Forecasting: A Comprehensive Review. IET Renew. Power Gener. 2020, 14, 1641–1656. [CrossRef]
    Paper not yet in RePEc: Add citation now
  37. Kumari, P.; Toshniwal, D. Deep Learning Models for Solar Irradiance Forecasting: A Comprehensive Review. J. Clean. Prod. 2021, 318, 128566. [CrossRef]
    Paper not yet in RePEc: Add citation now
  38. Li, B.; Zhang, J. A Review on the Integration of Probabilistic Solar Forecasting in Power Systems. Sol. Energy 2020, 210, 68–86. [CrossRef]
    Paper not yet in RePEc: Add citation now
  39. López-López, J.A.; Rubio-Aparicio, M.; Sánchez-Meca, J. Overviews of Reviews: Concept and Development. Psicothema 2022, 175–181. [CrossRef]
    Paper not yet in RePEc: Add citation now
  40. Lunny, C.; Brennan, S.E.; McDonald, S.; McKenzie, J.E. Toward a Comprehensive Evidence Map of Overview of Systematic Review Methods: Paper 1—Purpose, Eligibility, Search and Data Extraction. Syst. Rev. 2017, 6, 231. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  41. Lunny, C.; Brennan, S.E.; Reid, J.; McDonald, S.; McKenzie, J.E. Overviews of Reviews Incompletely Report Methods for Handling Overlapping, Discordant, and Problematic Data. J. Clin. Epidemiol. 2020, 118, 69–85. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  42. lvarez-Alvarado, J.M.; Ríos-Moreno, J.G.; Obregón-Biosca, S.A.; Ronquillo-Lomelí, G.; Ventura-Ramos, E.; Trejo-Perea, M. Hybrid Techniques to Predict Solar Radiation Using Support Vector Machine and Search Optimization Algorithms: A Review. Appl. Sci. 2021, 11, 1044. [CrossRef]
    Paper not yet in RePEc: Add citation now
  43. Mellit, A.; Massi Pavan, A.; Ogliari, E.; Leva, S.; Lughi, V. Advanced Methods for Photovoltaic Output Power Forecasting: A Review. Appl. Sci. 2020, 10, 487. [CrossRef]
    Paper not yet in RePEc: Add citation now
  44. Meltzer, H. Review of Reviews in Industrial Psychology, 1950?1959. Pers. Psychol. 1960, 13, 31–58. [CrossRef]
    Paper not yet in RePEc: Add citation now
  45. Mohanty, S.; Patra, P.K.; Mohanty, A.; Harrag, A.; Rezk, H. Adaptive Neuro-Fuzzy Approach for Solar Radiation Forecasting in Cyclone Ravaged Indian Cities: A Review. Front. Energy Res. 2022, 10, 828097. [CrossRef]
    Paper not yet in RePEc: Add citation now
  46. Mohanty, S.; Patra, P.K.; Sahoo, S.S. Prediction and Application of Solar Radiation with Soft Computing over Traditional and Conventional Approach—A Comprehensive Review. Renew. Sustain. Energy Rev. 2016, 56, 778–796. [CrossRef]
    Paper not yet in RePEc: Add citation now
  47. Nazarko, J. Modeling of Power Distribution Systems; Bialystok Technical University Publisher: Bialystok, Poland, 1993; ISBN 0867-096X.
    Paper not yet in RePEc: Add citation now
  48. Nazarko, J.; Jurczuk, A.; Zalewski, W. ARIMA Models in Load Modelling with Clustering Approach. In Proceedings of the 2005 IEEE Russia Power Tech, St. Petersburg, Russia, 27–30 June 2005; pp. 1–6.
    Paper not yet in RePEc: Add citation now
  49. Nazarko, L. Responsible Research and Innovation in Enterprises: Benefits, Barriers and the Problem of Assessment. J. Open Innov. Technol. Mark. Complex. 2020, 6, 12. [CrossRef]
    Paper not yet in RePEc: Add citation now
  50. Panamtash, H.; Mahdavi, S.; Zhou, Q. Probabilistic Solar Power Forecasting: A Review and Comparison. In Proceedings of the 2020 52nd North American Power Symposium (NAPS), Tempe, AZ, USA, 11–13 April 2021; pp. 1–6.
    Paper not yet in RePEc: Add citation now
  51. Pazikadin, A.R.; Rifai, D.; Ali, K.; Malik, M.Z.; Abdalla, A.N.; Faraj, M.A. Solar Irradiance Measurement Instrumentation and Power Solar Generation Forecasting Based on Artificial Neural Networks (ANN): A Review of Five Years Research Trend. Sci. Total Environ. 2020, 715, 136848. [CrossRef]
    Paper not yet in RePEc: Add citation now
  52. Prema, V.; Bhaskar, M.S.; Almakhles, D.; Gowtham, N.; Rao, K.U. Critical Review of Data, Models and Performance Metrics for Wind and Solar Power Forecast. IEEE Access 2022, 10, 667–688. [CrossRef]
    Paper not yet in RePEc: Add citation now
  53. Qazi, A.; Fayaz, H.; Wadi, A.; Raj, R.G.; Rahim, N.A.; Khan, W.A. The Artificial Neural Network for Solar Radiation Prediction and Designing Solar Systems: A Systematic Literature Review. J. Clean. Prod. 2015, 104, 1–12. [CrossRef]
    Paper not yet in RePEc: Add citation now
  54. Rahimi, N.; Park, S.; Choi, W.; Oh, B.; Kim, S.; Cho, Y.; Ahn, S.; Chong, C.; Kim, D.; Jin, C.; et al. A Comprehensive Review on Ensemble Solar Power Forecasting Algorithms. J. Electr. Eng. Technol. 2023, 18, 719–733. [CrossRef] [PubMed] Energies 2024, 17, 3156 26 of 27
    Paper not yet in RePEc: Add citation now
  55. Rajagukguk, R.A.; Ramadhan, R.A.A.; Lee, H.-J. A Review on Deep Learning Models for Forecasting Time Series Data of Solar Irradiance and Photovoltaic Power. Energies 2020, 13, 6623. [CrossRef]

  56. Rajasekaran, M.; Selvakumar, A.I.; Rajasekaran, E. Review on Mathematical Models for the Prediction of Solar Radiation. Indones. J. Electr. Eng. Comput. Sci. 2019, 15, 56. [CrossRef]
    Paper not yet in RePEc: Add citation now
  57. Raza, M.Q.; Nadarajah, M.; Ekanayake, C. On Recent Advances in PV Output Power Forecast. Sol. Energy 2016, 136, 125–144. [CrossRef] Energies 2024, 17, 3156 27 of 27
    Paper not yet in RePEc: Add citation now
  58. Reis, J.; Melão, N. Digital Transformation: A Meta-Review and Guidelines for Future Research. Heliyon 2023, 9, e12834. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  59. Ren, Y.; Suganthan, P.N.; Srikanth, N. Ensemble Methods for Wind and Solar Power Forecasting—A State-of-the-Art Review. Renew. Sustain. Energy Rev. 2015, 50, 82–91. [CrossRef]
    Paper not yet in RePEc: Add citation now
  60. Sarrami-Foroushani, P.; Travaglia, J.; Debono, D.; Clay-Williams, R.; Braithwaite, J. Scoping Meta-Review: Introducing a New Methodology: Scoping Meta-Review. Clin. Transl. Sci. 2015, 8, 77–81. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  61. Schryen, G.; Sperling, M. Literature Reviews in Operations Research: A New Taxonomy and a Meta Review. Comput. Oper. Res. 2023, 157, 106269. [CrossRef]
    Paper not yet in RePEc: Add citation now
  62. Sharma, A.; Kakkar, A. A Review on Solar Forecasting and Power Management Approaches for Energy-harvesting Wireless Sensor Networks. Int. J. Commun. 2020, 33, e4366. [CrossRef]
    Paper not yet in RePEc: Add citation now
  63. Singla, P.; Duhan, M.; Saroha, S. A Comprehensive Review and Analysis of Solar Forecasting Techniques. Front. Energy 2022, 16, 187–223. [CrossRef]
    Paper not yet in RePEc: Add citation now
  64. Sobri, S.; Koohi-Kamali, S.; Rahim, N.A. Solar Photovoltaic Generation Forecasting Methods: A Review. Energy Convers. Manag. 2018, 156, 459–497. [CrossRef]
    Paper not yet in RePEc: Add citation now
  65. Ssekulima, E.B.; Anwar, M.B.; Al Hinai, A.; El Moursi, M.S. Wind Speed and Solar Irradiance Forecasting Techniques for Enhanced Renewable Energy Integration with the Grid: A Review. IET Renew. Power Gener. 2016, 10, 885–989. [CrossRef]
    Paper not yet in RePEc: Add citation now
  66. Sudharshan, K.; Naveen, C.; Vishnuram, P.; Krishna Rao Kasagani, D.V.S.; Nastasi, B. Systematic Review on Impact of Different Irradiance Forecasting Techniques for Solar Energy Prediction. Energies 2022, 15, 6267. [CrossRef]
    Paper not yet in RePEc: Add citation now
  67. Thaker, J.; Höller, R. A Comparative Study of Time Series Forecasting of Solar Energy Based on Irradiance Classification. Energies 2022, 15, 2837. [CrossRef]
    Paper not yet in RePEc: Add citation now
  68. Tsai, W.-C.; Tu, C.-S.; Hong, C.-M.; Lin, W.-M. A Review of State-of-the-Art and Short-Term Forecasting Models for Solar PV Power Generation. Energies 2023, 16, 5436. [CrossRef]
    Paper not yet in RePEc: Add citation now
  69. Van Der Meer, D.W.; Widén, J.; Munkhammar, J. Review on Probabilistic Forecasting of Photovoltaic Power Production and Electricity Consumption. Renew. Sustain. Energy Rev. 2018, 81, 1484–1512. [CrossRef]
    Paper not yet in RePEc: Add citation now
  70. Voyant, C.; Notton, G.; Kalogirou, S.; Nivet, M.-L.; Paoli, C.; Motte, F.; Fouilloy, A. Machine Learning Methods for Solar Radiation Forecasting: A Review. Renew. Energy 2017, 105, 569–582. [CrossRef]
    Paper not yet in RePEc: Add citation now
  71. Wang, H.; Zhang, N.; Du, E.; Yan, J.; Han, S.; Liu, Y. A Comprehensive Review for Wind, Solar, and Electrical Load Forecasting Methods. Glob. Energy Interconnect. 2022, 5, 9–30. [CrossRef]
    Paper not yet in RePEc: Add citation now
  72. Wu, Y.-K.; Huang, C.-L.; Phan, Q.-T.; Li, Y.-Y. Completed Review of Various Solar Power Forecasting Techniques Considering Different Viewpoints. Energies 2022, 15, 3320. [CrossRef]
    Paper not yet in RePEc: Add citation now
  73. Yadav, A.K.; Chandel, S.S. Solar Radiation Prediction Using Artificial Neural Network Techniques: A Review. Renew. Sustain. Energy Rev. 2014, 33, 772–781. [CrossRef]
    Paper not yet in RePEc: Add citation now
  74. Yagli, G.M.; Yang, D.; Srinivasan, D. Automatic Hourly Solar Forecasting Using Machine Learning Models. Renew. Sustain. Energy Rev. 2019, 105, 487–498. [CrossRef]
    Paper not yet in RePEc: Add citation now
  75. Yang, B.; Zhu, T.; Cao, P.; Guo, Z.; Zeng, C.; Li, D.; Chen, Y.; Ye, H.; Shao, R.; Shu, H.; et al. Classification and Summarization of Solar Irradiance and Power Forecasting Methods: A Thorough Review. CSEE J. Power Energy Syst. 2023, 9, 978–995. [CrossRef]
    Paper not yet in RePEc: Add citation now
  76. Yang, D.; Kleissl, J.; Gueymard, C.A.; Pedro, H.T.C.; Coimbra, C.F.M. History and Trends in Solar Irradiance and PV Power Forecasting: A Preliminary Assessment and Review Using Text Mining. Sol. Energy 2018, 168, 60–101. [CrossRef]
    Paper not yet in RePEc: Add citation now
  77. Yang, D.; Li, W.; Yagli, G.M.; Srinivasan, D. Operational Solar Forecasting for Grid Integration: Standards, Challenges, and Outlook. Sol. Energy 2021, 224, 930–937. [CrossRef]
    Paper not yet in RePEc: Add citation now
  78. Yang, D.; Van Der Meer, D. Post-Processing in Solar Forecasting: Ten Overarching Thinking Tools. Renew. Sustain. Energy Rev. 2021, 140, 110735. [CrossRef]
    Paper not yet in RePEc: Add citation now
  79. Yang, D.; Wang, W.; Gueymard, C.A.; Hong, T.; Kleissl, J.; Huang, J.; Perez, M.J.; Perez, R.; Bright, J.M.; Xia, X.; et al. A Review of Solar Forecasting, Its Dependence on Atmospheric Sciences and Implications for Grid Integration: Towards Carbon Neutrality. Renew. Sustain. Energy Rev. 2022, 161, 112348. [CrossRef]

  80. Yesilbudak, M.; Colak, M.; Bayindir, R. A Review of Data Mining and Solar Power Prediction. In Proceedings of the 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), Birmingham, UK, 20–23 November 2016; pp. 1117–1121.
    Paper not yet in RePEc: Add citation now
  81. Zendehboudi, A.; Baseer, M.A.; Saidur, R. Application of Support Vector Machine Models for Forecasting Solar and Wind Energy Resources: A Review. J. Clean. Prod. 2018, 199, 272–285. [CrossRef]
    Paper not yet in RePEc: Add citation now
  82. Zhou, Y.; Liu, Y.; Wang, D.; Liu, X.; Wang, Y. A Review on Global Solar Radiation Prediction with Machine Learning Models in a Comprehensive Perspective. Energy Convers. Manag. 2021, 235, 113960. [CrossRef]
    Paper not yet in RePEc: Add citation now
  83. Zwane, N.; Tazvinga, H.; Botai, C.; Murambadoro, M.; Botai, J.; De Wit, J.; Mabasa, B.; Daniel, S.; Mabhaudhi, T. A Bibliometric Analysis of Solar Energy Forecasting Studies in Africa. Energies 2022, 15, 5520. [CrossRef]

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    RePEc:eee:renene:v:242:y:2025:i:c:s0960148125000709.

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  8. Revolutionizing solar energy resources: The central role of generative AI in elevating system sustainability and efficiency. (2025). Mousavi, Arash ; Fekih, Afef ; Alfi, Alireza ; Kucukdemiral, Ibrahim Beklan ; Arab, Aliasghar ; Tavasoli, Mahsa.
    In: Applied Energy.
    RePEc:eee:appene:v:382:y:2025:i:c:s0306261925000261.

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  9. Analysis of the Effectiveness of ARIMA, SARIMA, and SVR Models in Time Series Forecasting: A Case Study of Wind Farm Energy Production. (2024). Kusznier, Jacek ; Draus, Grzegorz ; Mazur, Damian ; Szostek, Kamil.
    In: Energies.
    RePEc:gam:jeners:v:17:y:2024:i:19:p:4803-:d:1485694.

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  10. An Enhanced Forecasting Method of Daily Solar Irradiance in Southwestern France: A Hybrid Nonlinear Autoregressive with Exogenous Inputs with Long Short-Term Memory Approach. (2024). Seker, Serhat ; Gokce, Seckin ; Okieh, Oubah Isman ; Dennenmoser, Martin.
    In: Energies.
    RePEc:gam:jeners:v:17:y:2024:i:16:p:3965-:d:1453596.

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  11. Solar Radiation Forecasting: A Systematic Meta-Review of Current Methods and Emerging Trends. (2024). Nazarko, Ukasz ; Rabayah, Hesham S ; Chodakowska, Ewa.
    In: Energies.
    RePEc:gam:jeners:v:17:y:2024:i:13:p:3156-:d:1422744.

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  12. A hybrid graph attention network based method for interval prediction of shipboard solar irradiation. (2024). Hong, Ying-Yi ; Yang, Mao-Sen ; Yin, HE ; Lan, Hai ; Jin, Feng ; Guo, Dong.
    In: Energy.
    RePEc:eee:energy:v:298:y:2024:i:c:s0360544224009046.

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  13. Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition. (2024). Mariani, Viviana Cocco ; Stefenon, Stefano Frizzo ; Moreno, Sinvaldo Rodrigues ; Santos, Leandro Dos ; Seman, Laio Oriel.
    In: Energy.
    RePEc:eee:energy:v:292:y:2024:i:c:s0360544224002640.

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  14. Solar Energy Production in Azerbaijan: Forecast Analysis Using ARIMA Model. (2024). Hasanov, Ramil.
    In: Journal of Sustainable Development Issues (JOSDI).
    RePEc:arv:journl:v:2:y:2024:i:1:p:11-20.

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  15. Solar Radiation Prediction Based on Conformer-GLaplace-SDAR Model. (2023). Lyu, Zhuoyuan ; Zhao, YU ; Shen, Ying ; Hu, Tao.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:20:p:15050-:d:1263031.

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  16. A Comprehensive Review of Shipboard Power Systems with New Energy Sources. (2023). Wang, Zhuangwei ; Hong, Ying-Yi ; Cheng, Peng ; Yin, HE ; Lan, Hai ; Guo, Dong ; Li, Dan.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:5:p:2307-:d:1082567.

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  17. Modeling the Photovoltaic Power Generation in Poland in the Light of PEP2040: An Application of Multiple Regression. (2023). Kolev, Spas D ; Rybak, Aurelia.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:22:p:7476-:d:1275709.

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  18. Efficient Output Photovoltaic Power Prediction Based on MPPT Fuzzy Logic Technique and Solar Spatio-Temporal Forecasting Approach in a Tropical Insular Region. (2022). Calif, Rudy ; Andre, Maina ; Mehazzem, Fateh.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:22:p:8671-:d:977213.

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  19. Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates. (2022). Amaro, Rodrigo ; Manso, Miguel Angel ; Cesar, Llinet Benavides ; Cira, Calimanut-Ionut.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:12:p:4341-:d:838328.

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  20. Towards the applicability of solar nowcasting: A practice on predictive PV power ramp-rate control. (2022). Du, Yang ; Chen, Xiaoyang ; Fang, Lurui ; Yan, KE ; Lim, Eng Gee.
    In: Renewable Energy.
    RePEc:eee:renene:v:195:y:2022:i:c:p:147-166.

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  21. U-Convolutional model for spatio-temporal wind speed forecasting. (2021). Milidiu, Ruy Luiz ; Cyrino, Fernando Luiz ; Bastos, Bruno Quaresma.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:37:y:2021:i:2:p:949-970.

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  22. Forecast Horizon and Solar Variability Influences on the Performances of Multiscale Hybrid Forecast Model. (2019). Soubdhan, Ted ; Monjoly, Stephanie ; Calif, Rudy ; Andre, Maina.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:12:p:2264-:d:239520.

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  23. Day-ahead spatiotemporal solar irradiation forecasting using frequency-based hybrid principal component analysis and neural network. (2019). He, Yin ; Hong, Ying-Yi ; Wen, Shuli ; Lan, Hai ; Zhang, Chi.
    In: Applied Energy.
    RePEc:eee:appene:v:247:y:2019:i:c:p:389-402.

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  24. Day-ahead spatio-temporal forecasting of solar irradiation along a navigation route. (2018). Hong, Ying-Yi ; Wen, Shuli ; Cheng, Peng ; Yin, HE ; Lan, Hai ; Yu, David C.
    In: Applied Energy.
    RePEc:eee:appene:v:211:y:2018:i:c:p:15-27.

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  25. Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods. (2017). Ho, Wai Shin ; Theo, Wai Lip ; Lim, Jeng Shiun ; Hashim, Haslenda ; Lee, Chew Tin.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:67:y:2017:i:c:p:531-573.

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  26. Electricity consumption forecasting in Brazil: A spatial econometrics approach. (2017). de Freitas, Maria Viviana ; Loureiro, Luiz Fernando ; de Assis, Joilson.
    In: Energy.
    RePEc:eee:energy:v:126:y:2017:i:c:p:124-131.

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