Multistep Wind Speed Forecasting Using a Novel Model Hybridizing Singular Spectrum Analysis, Modified Intelligent Optimization, and Rolling Elman Neural Network
المؤلفون المشاركون
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-21، 21ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-12-04
دولة النشر
مصر
عدد الصفحات
21
التخصصات الرئيسية
الملخص EN
Wind speed high-accuracy forecasting, an important part of the electrical system monitoring and control, is of the essence to protect the safety of wind power utilization.
However, the wind speed signals are always intermittent and intrinsic complexity; therefore, it is difficult to forecast them accurately.
Many traditional wind speed forecasting studies have focused on single models, which leads to poor prediction accuracy.
In this paper, a new hybrid model is proposed to overcome the shortcoming of single models by combining singular spectrum analysis, modified intelligent optimization, and the rolling Elman neural network.
In this model, except for the multiple seasonal patterns used to reduce interferences from the original data, the rolling model is utilized to forecast the multistep wind speed.
To verify the forecasting ability of the proposed hybrid model, 10 min and 60 min wind speed data from the province of Shandong, China, were proposed in this paper as the case study.
Compared to the other models, the proposed hybrid model forecasts the wind speed with higher accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Zhongshan& Wang, Jian. 2016. Multistep Wind Speed Forecasting Using a Novel Model Hybridizing Singular Spectrum Analysis, Modified Intelligent Optimization, and Rolling Elman Neural Network. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-21.
https://search.emarefa.net/detail/BIM-1112055
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Zhongshan& Wang, Jian. Multistep Wind Speed Forecasting Using a Novel Model Hybridizing Singular Spectrum Analysis, Modified Intelligent Optimization, and Rolling Elman Neural Network. Mathematical Problems in Engineering No. 2016 (2016), pp.1-21.
https://search.emarefa.net/detail/BIM-1112055
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Zhongshan& Wang, Jian. Multistep Wind Speed Forecasting Using a Novel Model Hybridizing Singular Spectrum Analysis, Modified Intelligent Optimization, and Rolling Elman Neural Network. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-21.
https://search.emarefa.net/detail/BIM-1112055
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1112055
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