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International Journal of Energy for a Clean Environment

Publicado 8 números por año

ISSN Imprimir: 2150-3621

ISSN En Línea: 2150-363X

SJR: 0.597 SNIP: 1.456 CiteScore™:: 3.7 H-Index: 18

Indexed in

WAVELET PACKET-GAUSSIAN PROCESS REGRESSION MULTIVARIATE AND UNIVARIATE MODEL FOR FORECASTING DAILY SOLAR RADIATION

Volumen 23, Edición 2, 2022, pp. 77-96
DOI: 10.1615/InterJEnerCleanEnv.2021037413
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SINOPSIS

In recent years, the accuracy of the prediction of daily global solar radiation (GSR) has received great attention by researchers. In this study, hybrid models using the Gaussian process regression algorithm, wavelet, and wavelet packet decomposition (W, WPD) GPR have been proposed to predict daily solar radiation in Ghardaia city (Algeria). In addition to the hybridization methods, the problem is examined initially by entering meteorological data as input and is extended to the univariate case in the process of estimating the optimum model. For this purpose, three years of data series (2013-2015) have been used in model training, while data from 2016 were used to validate the model. The results showed the effectiveness of the hybrid model, especially WPD-GPR; compared to the classic GPR model, this model gave excellent results when using univariable inputs in terms of root mean square error (RMSE = 0.58 MJ/m2 day), relative root mean square error (rRMSE = 2.83%), mean absolute error (MSE = 0.34 MJ/m2 day), and determination coefficient (R2 = 99.54%).

REFERENCIAS
  1. Agbulut, U., Gurel, A.E., and Bifen, Y., Prediction of Daily Global Solar Radiation Using Different Machine Learning Algorithms: Evaluation and Comparison, Renewable Sustainable Energy Rev., vol. 135, p. 110114, 2021.

  2. Aji, P., Wakamori, K., and Mineno, H., Highly Accurate Daily Solar Radiation Forecasting Using SW-SVR for Hybrid Power Plant in Indonesia, 2018 4th Int. Conf. Nano Electronics Res. Education (ICNERE), IEEE, p. 1-5, 2018.

  3. Bakirci, K., Correlations for Estimation of Daily Global Solar Radiation with Hours of Bright Sunshine in Turkey, Energy, vol. 34, no. 4, pp. 485-501, 2009.

  4. Benamrou, B., Ouardouz, M., and Allaouzi, I., A New Approach for Estimating Monthly Global Solar Irradiation Based on Empirical and Artificial Neural Networks Models: A Case Study of Al-Hoceima Province, in Morocco North Region, in Emerging Trends in ICTfor Sustainable Development, New York: Springer, pp. 285-294, 2021.

  5. Bouakkaz, M.S., Boukadoum, A., Boudebbouz, O., Boutasseta, N., Attoui, I., Fergani, N., Bouraiou, A., and Nejaibia, A., Anfis-Based Maximum Power Point Tracking Using Genetic Algorithm Tuned Fractional-Order Proportional-Integral-Derivative Controller and On-Site Measured Climatic Data, Int. J. Energy Clean Environ., vol. 22, no. 4, 2021.

  6. Choudhary, A., Pandey, D., and Bhardwaj, S., Global Solar Radiation Estimation Modeling Using Artificial Neural Network: A Case Study on Metro Cities of India, in Intelligent Computing in Control and Communication, New York: Springer, pp. 479-489, 2021.

  7. Das, B.K., Optimal Sizing of Stand-Alone and Grid-Connected Solar PV Systems in Bangladesh, Int. J. Energy Clean Environ., vol. 21, no. 2, pp. 107-124, 2020.

  8. Deo, R.C., Wen, X., and Qi, F., A Wavelet-Coupled Support Vector Machine Model for Forecasting Global Incident Solar Radiation Using Limited Meteorological Dataset, Appl. Energy, vol. 168, pp. 568-593, 2016.

  9. Ertekin, C. and Yaldiz, O., Comparison of Some Existing Models for Estimating Global Solar Radiation for Antalya (Turkey), Energy Convers. Manage., vol. 41, no. 4, pp. 311-330, 2000.

  10. Espindola, J., Nourin, F.N., Qandil, M.D., Abdelhadi, A.I., and Amano, R.S., Energy Saving Analysis Using Energy Intensity Usage and Specific Energy Consumption Methods, Int. J. Energy Clean Environ., vol. 22, no. 1, pp. 15-29, 2021.

  11. Feng, Y., Gong, D., Zhang, Q., Jiang, S., Zhao, L., and Cui, N., Evaluation of Temperature-Based Machine Learning and Empirical Models for Predicting Daily Global Solar Radiation, Energy Convers. Manage., vol. 198, p. 111780, 2019.

  12. Guermoui, M., Gairaa, K., Rabehi, A., Djafer, D., and Benkaciali, S., Estimation of the Daily Global Solar Radiation Based on the Gaussian Process Regression Methodology in the Saharan Climate, Euro. Phys. J. Plus, vol. 133, no. 6, pp. 1-17, 2018.

  13. Gunther, M., Janotte, N., Mezrhab, A., Pottler, K., Schillings, C., Wilbert, S., and Wolferstatter, F., Solar Radiation, in Advanced CSP Teaching Materials, Enermena, pp. 22-23, 2011.

  14. Islam, M.K., Rastegarnia, A., and Sanei, S., Signal Artifacts and Techniques for Artifacts and Noise Removal, in Signal Processing Techniques for Computational Health Informatics, New York: Springer, pp. 23-79, 2021.

  15. Ismail, M.T., Shah, N.Z.A., and Karim, S.A.A., Modeling Solar Radiation in Peninsular Malaysia Using ARIMA Model, in Clean Energy Opportunities in Tropical Countries, New York: Springer, pp. 53-71, 2021.

  16. Kato, S., Ackerman, T.P., Mather, J.H., and Clothiaux, E.E., The k-Distribution Method and Correlated-K Approximation for a Shortwave Radiative Transfer Model, J. Quant. Spectrosc. Radiat. Transf., vol. 62, no. 1, pp. 109-121, 1999.

  17. Mehdizadeh, S., Behmanesh, J., and Khalili, K., Comparison of Artificial Intelligence Methods and Empirical Equations to Estimate Daily Solar Radiation, Atmos. Sol.-Terr. Phys., vol. 146, pp. 215-227, 2016.

  18. Mohammadi, K., Shamshirband, S., Tong, C.W., Arif, M., Petkovic, D., and Ch, S., A New Hybrid Support Vector Machine-Wavelet Transform Approach for Estimation of Horizontal Global Solar Radiation, Energy Convers. Manage., vol. 92, pp. 162-171, 2015.

  19. Nguyen, D.-T., Filippone, M., and Michiardi, P., Exact Gaussian Process Regression with Distributed Computations, Proc. 34th ACM/SIGAPP Symp. Applied Computing, pp. 1286-1295, 2019.

  20. Ogueke, N.V., Njokuocha, U., and Anyanwu, E., Design and Measured Performance of a Photovoltaic Thermal Collector-Powered Dryer, Int. J. Energy Clean Environ., vol. 18, no. 2, 2017.

  21. Paletta, Q., Arbod, G., and Lasenby, J., Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images-An In-Depth Analysis, arXivpreprint arXiv:.00721, 2021.

  22. Pilov, P.I. and Dreshpak, A., Mathematical Model for Predicting Limestone Enrichment Indicators, Int. J. Energy Clean Environ., vol. 18, no. 4, pp. 319-333, 2017.

  23. Pipia, L., Amin, E., Belda, S., Salinero-Delgado, M., and Verrelst, J., Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine, J. Remote Sens., vol. 13, no. 3, p. 403, 2021.

  24. Quej, V.H., Almorox, J., Arnaldo, J.A., and Saito, L., ANFIS, SVM and ANN Soft-Computing Techniques to Estimate Daily Global Solar Radiation in a Warm Sub-Humid Environment, J. Atmos. Sol. Terr. Phys, vol. 155, pp. 62-70, 2017.

  25. Rasmussen, C.E., Gaussian Processes in Machine Learning, in Summer School on Machine Learning, New York: Springer, pp. 63-71, 2003.

  26. Rasmussen, C.E. and Nickisch, H., Gaussian Processes for Machine Learning (GPML) Toolbox, J. Mach. Learn. Res., vol. 11, pp. 3011-3015, 2010.

  27. Rioul, O. and Duhamel, P., Fast Algorithms for Discrete and Continuous Wavelet Transforms, J. IEEE Transact. Info. Theory, vol. 38, no. 2, pp. 569-586, 1992.

  28. Shrestha, G.K., Pandey, B., Joshi, U., and Poudyal, K.N., Empirical Model for Estimation of Global Solar Radiation at Lowland Region Biratnagar Using Satellite Data, J. BIBECHANA, vol. 18, no. 1, pp. 193-200, 2021.

  29. Slimani, M.E.A., Amirat, M., and Bahria, S., Study and Modeling of Heat Transfer and Energy Performance in a Hybrid Pv/T Collector with Double Passage of Air, Int. J. Energy Clean Environ., vol. 16, nos. 1-4, pp. 235-245, 2015.

  30. Williams, C.K., Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond, in Learning in Graphical Models, New York: Springer, pp. 599-621, 1998.

CITADO POR
  1. Ferkous Khaled, Boulmaiz Tayeb, Abdelmouiz Ziari Fahd, Bekkar Belgacem, A hybrid approach based on complete ensemble empirical mode decomposition with adaptive noise for multi-step-ahead solar radiation forecasting, Clean Energy, 6, 5, 2022. Crossref

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