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Monthly Mean Meteorological Temperature Prediction Based on VMD-DSE and Volterra Adaptive Model
المؤلفون المشاركون
Li, Guohui
Yang, Hong
Chang, Wanni
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-03-21
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
Climate is a complex and chaotic system, and temperature prediction is a challenging problem.
Accurate temperature prediction is also concerned in the fields of energy, environment, industry, and agriculture.
In order to improve the accuracy of monthly mean temperature prediction and reduce the calculation scale of hybrid prediction process, a combined prediction model based on variational mode decomposition-differential symbolic entropy (VMD-DSE) and Volterra is proposed.
Firstly, the original monthly mean meteorological temperature sequence is decomposed into finite mode components by VMD.
The DSE is used to analyze the complexity and reconstruct the sequences.
Then, the new sequence is reconstructed in phase space.
The delay time and embedding dimension are determined by the mutual information method and G-P method, respectively.
On this basis, the Volterra adaptive prediction model is established to modeling and predicting each component.
Finally, the final predicted values are obtained by superimposing the predicted results.
The monthly mean temperature data of Xianyang and Yan’an are used to verify the prediction performance of the proposed model.
The experimental results show that the VMD-DSE-Volterra model shows better performance in the prediction of monthly mean temperature compared with other benchmark models in this paper.
In addition, the combined forecasting model proposed in this paper can reduce the modeling time and improve the forecasting accuracy, so it is an effective forecasting model.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Guohui& Chang, Wanni& Yang, Hong. 2020. Monthly Mean Meteorological Temperature Prediction Based on VMD-DSE and Volterra Adaptive Model. Advances in Meteorology،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1127020
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Guohui…[et al.]. Monthly Mean Meteorological Temperature Prediction Based on VMD-DSE and Volterra Adaptive Model. Advances in Meteorology No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1127020
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Guohui& Chang, Wanni& Yang, Hong. Monthly Mean Meteorological Temperature Prediction Based on VMD-DSE and Volterra Adaptive Model. Advances in Meteorology. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1127020
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1127020
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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