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A Hybrid Forecasting Model Based on Empirical Mode Decomposition and the Cuckoo Search Algorithm: A Case Study for Power Load
المؤلفون المشاركون
Heng, Jiani
Wang, Chen
Zhao, Xuejing
Wang, Jianzhou
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-28، 28ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-12-15
دولة النشر
مصر
عدد الصفحات
28
التخصصات الرئيسية
الملخص EN
Power load forecasting always plays a considerable role in the management of a power system, as accurate forecasting provides a guarantee for the daily operation of the power grid.
It has been widely demonstrated in forecasting that hybrid forecasts can improve forecast performance compared with individual forecasts.
In this paper, a hybrid forecasting approach, comprising Empirical Mode Decomposition, CSA (Cuckoo Search Algorithm), and WNN (Wavelet Neural Network), is proposed.
This approach constructs a more valid forecasting structure and more stable results than traditional ANN (Artificial Neural Network) models such as BPNN (Back Propagation Neural Network), GABPNN (Back Propagation Neural Network Optimized by Genetic Algorithm), and WNN.
To evaluate the forecasting performance of the proposed model, a half-hourly power load in New South Wales of Australia is used as a case study in this paper.
The experimental results demonstrate that the proposed hybrid model is not only simple but also able to satisfactorily approximate the actual power load and can be an effective tool in planning and dispatch for smart grids.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Heng, Jiani& Wang, Chen& Zhao, Xuejing& Wang, Jianzhou. 2016. A Hybrid Forecasting Model Based on Empirical Mode Decomposition and the Cuckoo Search Algorithm: A Case Study for Power Load. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-28.
https://search.emarefa.net/detail/BIM-1112000
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Heng, Jiani…[et al.]. A Hybrid Forecasting Model Based on Empirical Mode Decomposition and the Cuckoo Search Algorithm: A Case Study for Power Load. Mathematical Problems in Engineering No. 2016 (2016), pp.1-28.
https://search.emarefa.net/detail/BIM-1112000
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Heng, Jiani& Wang, Chen& Zhao, Xuejing& Wang, Jianzhou. A Hybrid Forecasting Model Based on Empirical Mode Decomposition and the Cuckoo Search Algorithm: A Case Study for Power Load. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-28.
https://search.emarefa.net/detail/BIM-1112000
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1112000
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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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
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