The Importance of Distance between Photovoltaic Power Stations for Clear Accuracy of Short-Term Photovoltaic Power Forecasting
المؤلفون المشاركون
El hendouzi, Abdelhakim
Bourouhou, Abdennaser
Ansari, Omar
المصدر
Journal of Electrical and Computer Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-04-10
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1184040
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر