An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting Academic Article

authors

• Abu-Rub, Haitham

published proceedings

• IEEE ACCESS

author list (cited authors)

• Massaoudi, M., Chihi, I., Sidhom, L., Trabelsi, M., Refaat, S. S., Abu-Rub, H., & Oueslati, F. S.

citation count

• 54

complete list of authors

• Massaoudi, Mohamed||Chihi, Ines||Sidhom, Lilia||Trabelsi, Mohamed||Refaat, Shady S||Abu-Rub, Haitham||Oueslati, Fakhreddine S

publication date

• January 2021

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Access  Journal

keywords

• Computational Modeling
• Data Models
• Forecasting
• Long Short-term Memory (lstm)
• Meteorology
• Nonlinear Auto-regressive Neural Networks With Exogenous Input (narxnn)
• Photovoltaic Power Forecasting
• Predictive Models
• Tabu Search Algorithm (tsa)
• Training
• Uncertainty

Digital Object Identifier (DOI)

• 10.1109/ACCESS.2021.3062776

start page

• 36571

end page

• 36588

volume

• 9

URL

• http://dx.doi.org/10.1109/access.2021.3062776