Photovoltaic power forecasting using statistical methods: impact of weather data
作者： Maria Grazia De Giorgi , Maria Malvoni , Paolo Maria Congedo
DOI: 10.1049/IET-SMT.2013.0135
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摘要: … The aim of the study is to underline the influence of several weather parameters on the PV power prediction. In the first part of this study, using regression analysis, the influence of …
sci-hub.se 参考文章(25)
P.M. Congedo, M. Malvoni, M. Mele, M.G. De Giorgi, Performance measurements of monocrystalline silicon PV modules in South-eastern Italy Energy Conversion and Management. ,vol. 68, pp. 1- 10 ,(2013) , 10.1016/J.ENCONMAN.2012.12.017
L. Alfredo Fernandez-Jimenez, Andrés Muñoz-Jimenez, Alberto Falces, Montserrat Mendoza-Villena, Eduardo Garcia-Garrido, Pedro M. Lara-Santillan, Enrique Zorzano-Alba, Pedro J. Zorzano-Santamaria, Short-term power forecasting system for photovoltaic plants Renewable Energy. ,vol. 44, pp. 311- 317 ,(2012) , 10.1016/J.RENENE.2012.01.108
Yen-Ming Chiang, Li-Chiu Chang, Fi-John Chang, Comparison of static-feedforward and dynamic-feedback neural networks for rainfall -runoff modeling Journal of Hydrology. ,vol. 290, pp. 297- 311 ,(2004) , 10.1016/J.JHYDROL.2003.12.033
Shouxiang Wang, Na Zhang, Yishu Zhao, Jie Zhan, Photovoltaic system power forecasting based on combined grey model and BP neural network international conference on electrical and control engineering. pp. 4623- 4626 ,(2011) , 10.1109/ICECENG.2011.6057634
P.L. Zervas, H. Sarimveis, J.A. Palyvos, N.C.G. Markatos, Prediction of daily global solar irradiance on horizontal surfaces based on neural-network techniques Renewable Energy. ,vol. 33, pp. 1796- 1803 ,(2008) , 10.1016/J.RENENE.2007.09.020
S. Kaplanis, E. Kaplani, A model to predict expected mean and stochastic hourly global solar radiation I(h;nj) values Renewable Energy. ,vol. 32, pp. 1414- 1425 ,(2007) , 10.1016/J.RENENE.2006.06.014
J.A. Ruiz-Arias, H. Alsamamra, J. Tovar-Pescador, D. Pozo-Vázquez, Proposal of a regressive model for the hourly diffuse solar radiation under all sky conditions Energy Conversion and Management. ,vol. 51, pp. 881- 893 ,(2010) , 10.1016/J.ENCONMAN.2009.11.024
M. Benghanem, A.A. Joraid, A multiple correlation between different solar parameters in Medina, Saudi Arabia Renewable Energy. ,vol. 32, pp. 2424- 2435 ,(2007) , 10.1016/J.RENENE.2006.12.017
Matthias Lange, On the Uncertainty of Wind Power Predictions—Analysis of the Forecast Accuracy and Statistical Distribution of Errors Journal of Solar Energy Engineering-transactions of The Asme. ,vol. 127, pp. 177- 184 ,(2005) , 10.1115/1.1862266
Maria Grazia De Giorgi, Antonio Ficarella, Marco Tarantino, Assessment of the benefits of numerical weather predictions in wind power forecasting based on statistical methods Energy. ,vol. 36, pp. 3968- 3978 ,(2011) , 10.1016/J.ENERGY.2011.05.006