A Hybrid Model Based on Ensemble Empirical Mode Decomposition and Fruit Fly Optimization Algorithm for Wind Speed Forecasting
المؤلفون المشاركون
Zhang, Wenyu
Qu, Zongxi
Zhang, Wenyu
Leng, Wennan
Wang, Jianzhou
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-09-08
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
As a type of clean and renewable energy, the superiority of wind power has increasingly captured the world’s attention.
Reliable and precise wind speed prediction is vital for wind power generation systems.
Thus, a more effective and precise prediction model is essentially needed in the field of wind speed forecasting.
Most previous forecasting models could adapt to various wind speed series data; however, these models ignored the importance of the data preprocessing and model parameter optimization.
In view of its importance, a novel hybrid ensemble learning paradigm is proposed.
In this model, the original wind speed data is firstly divided into a finite set of signal components by ensemble empirical mode decomposition, and then each signal is predicted by several artificial intelligence models with optimized parameters by using the fruit fly optimization algorithm and the final prediction values were obtained by reconstructing the refined series.
To estimate the forecasting ability of the proposed model, 15 min wind speed data for wind farms in the coastal areas of China was performed to forecast as a case study.
The empirical results show that the proposed hybrid model is superior to some existing traditional forecasting models regarding forecast performance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Qu, Zongxi& Zhang, Wenyu& Wang, Jianzhou& Zhang, Wenyu& Leng, Wennan. 2016. A Hybrid Model Based on Ensemble Empirical Mode Decomposition and Fruit Fly Optimization Algorithm for Wind Speed Forecasting. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1095442
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Qu, Zongxi…[et al.]. A Hybrid Model Based on Ensemble Empirical Mode Decomposition and Fruit Fly Optimization Algorithm for Wind Speed Forecasting. Advances in Meteorology No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1095442
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Qu, Zongxi& Zhang, Wenyu& Wang, Jianzhou& Zhang, Wenyu& Leng, Wennan. A Hybrid Model Based on Ensemble Empirical Mode Decomposition and Fruit Fly Optimization Algorithm for Wind Speed Forecasting. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1095442
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1095442
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