The Importance of Distance between Photovoltaic Power Stations for Clear Accuracy of Short-Term Photovoltaic Power Forecasting
Joint Authors
El hendouzi, Abdelhakim
Bourouhou, Abdennaser
Ansari, Omar
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-10
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
The current research paper deals with the worldwide problem of photovoltaic (PV) power forecasting by this innovative contribution in short-term PV power forecasting time horizon based on classification methods and nonlinear autoregressive with exogenous input (NARX) neural network model.
In the meantime, the weather data and PV installation parameters are collected through the data acquisition systems installed beside the three PV systems.
At the same time, the PV systems are located in Morocco country, respectively, the 2 kWp PV installation placed at the Higher Normal School of Technical Education (ENSET) in Rabat city, the 3 kWp PV system set at Nouasseur Casablanca city, and the 60 kWp PV installation also based in Rabat city.
The multisite modelling approach, meanwhile, is deployed for establishing the flawless short-term PV power forecasting models.
As a result, the implementation of different models highlights their achievements in short-term PV power forecasting modelling.
Consequently, the comparative study between the benchmarking model and the forecasting methods showed that the forecasting techniques used in this study outperform the smart persistence model not only in terms of normalized root mean square error (nRMSE) and normalized mean absolute error (nMAE) but also in terms of the skill score technique applied to assess the short-term PV power forecasting models.
American Psychological Association (APA)
El hendouzi, Abdelhakim& Bourouhou, Abdennaser& Ansari, Omar. 2020. The Importance of Distance between Photovoltaic Power Stations for Clear Accuracy of Short-Term Photovoltaic Power Forecasting. Journal of Electrical and Computer Engineering،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1184040
Modern Language Association (MLA)
El hendouzi, Abdelhakim…[et al.]. The Importance of Distance between Photovoltaic Power Stations for Clear Accuracy of Short-Term Photovoltaic Power Forecasting. Journal of Electrical and Computer Engineering No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1184040
American Medical Association (AMA)
El hendouzi, Abdelhakim& Bourouhou, Abdennaser& Ansari, Omar. The Importance of Distance between Photovoltaic Power Stations for Clear Accuracy of Short-Term Photovoltaic Power Forecasting. Journal of Electrical and Computer Engineering. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1184040
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184040