A SARIMA-RVFL hybrid model assisted by wavelet decomposition for very short-term solar PV power generation forecast

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dc.contributor.author Kushwaha, Vishal
dc.contributor.author Pindoriya, Naran M.
dc.date.accessioned 2019-03-27T06:42:09Z
dc.date.available 2019-03-27T06:42:09Z
dc.date.issued 2019-03
dc.identifier.citation Kushwaha, Vishal and Pindoriya, Naran M.,"A SARIMA-RVFL hybrid model assisted by wavelet decomposition for very short-term solar PV power generation forecast", Renewable Energy, DOI: 10.1016/j.renene.2019.03.020, Mar. 2019. en_US
dc.identifier.issn 0960-1481
dc.identifier.uri https://doi.org/10.1016/j.renene.2019.03.020
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/4308
dc.description.abstract A very short-term solar PV power generation forecast can be extremely helpful for real-time balancing operation in an electricity market which in turn will profit both energy suppliers as well as customers. However, the intermittency of solar PV power introduces inaccuracies in its forecast. To address this challenge, the research paper has studied the effect of wavelet decomposition of solar PV power time series on its forecast. A novel and time adaptive, Seasonal Autoregressive Integrated Moving Average (SARIMA)-Random Vector Functional Link (RVFL) neural network hybrid model assisted by Maximum Overlap Discrete Wavelet Transform (MODWT) has been proposed. The solar PV power generation data obtained from roof-top solar PV plants installed at IIT Gandhinagar is used to develop and validate the forecast models. Various numerical forecast accuracy measures have been calculated which show an improvement in accuracy and adaptability of proposed forecast model over constituent models.
dc.description.statementofresponsibility by Vishal Kushwaha and Naran M. Pindoriya
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Artificial neural network en_US
dc.subject Feature selection en_US
dc.subject Forecasting en_US
dc.subject Hybrid modelSolar PV power en_US
dc.subject Wavelet transform en_US
dc.title A SARIMA-RVFL hybrid model assisted by wavelet decomposition for very short-term solar PV power generation forecast en_US
dc.type Article en_US
dc.relation.journal Renewable Energy


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