A Hybrid Forecasting Model Based on Empirical Mode Decomposition and the Cuckoo Search Algorithm: A Case Study for Power Load
Joint Authors
Heng, Jiani
Wang, Chen
Zhao, Xuejing
Wang, Jianzhou
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-28, 28 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-15
Country of Publication
Egypt
No. of Pages
28
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112000