Multidimensional Meteorological Variables for Wind Speed Forecasting in Qinghai Region of China: A Novel Approach
المؤلفون المشاركون
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-06
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
The accurate, efficient, and reliable forecasting of wind speed is a hot research topic in wind power generation and integration.
However, available forecasting models focus on forecasting the wind speed using historical wind speed data and ignore multidimensional meteorological variables.
The objective is to develop a hybrid model with multidimensional meteorological variables for forecasting the wind speed accurately.
The complementary ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is applied to handle the nonlinearity of the wind speed.
Then, the original wind speed will be decomposed into a series of intrinsic model functions with specified numbers of frequencies.
A quadratic model that considers the two-way interactions between factors is used to pursue accurate forecasting.
To reduce the model complexity, Gram–Schmidt-based feature selection (GSFS) is applied to extract the important meteorological factors.
Finally, all the forecasting values of IMFs will be summed by assigning weights that are carefully determined by the whale optimization algorithm (WOA).
The proposed forecasting approach has been applied on six datasets that were collected in Qinghai province and is compared with several state-of-the-art wind speed forecasting models.
The forecasting results demonstrate that the proposed model can represent the nonlinearity of the wind speed and deliver better results than the competitors.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jiang, He& Shihua, Luo& Dong, Yao. 2020. Multidimensional Meteorological Variables for Wind Speed Forecasting in Qinghai Region of China: A Novel Approach. Advances in Meteorology،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1126899
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jiang, He…[et al.]. Multidimensional Meteorological Variables for Wind Speed Forecasting in Qinghai Region of China: A Novel Approach. Advances in Meteorology No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1126899
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jiang, He& Shihua, Luo& Dong, Yao. Multidimensional Meteorological Variables for Wind Speed Forecasting in Qinghai Region of China: A Novel Approach. Advances in Meteorology. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1126899
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1126899
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