A New Hybrid Model Based on Data Preprocessing and an Intelligent Optimization Algorithm for Electrical Power System Forecasting
Joint Authors
Jiang, Ping
Liu, Feng
Ma, Xuejiao
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-25
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
The establishment of electrical power system cannot only benefit the reasonable distribution and management in energy resources, but also satisfy the increasing demand for electricity.
The electrical power system construction is often a pivotal part in the national and regional economic development plan.
This paper constructs a hybrid model, known as the E-MFA-BP model, that can forecast indices in the electrical power system, including wind speed, electrical load, and electricity price.
Firstly, the ensemble empirical mode decomposition can be applied to eliminate the noise of original time series data.
After data preprocessing, the back propagation neural network model is applied to carry out the forecasting.
Owing to the instability of its structure, the modified firefly algorithm is employed to optimize the weight and threshold values of back propagation to obtain a hybrid model with higher forecasting quality.
Three experiments are carried out to verify the effectiveness of the model.
Through comparison with other traditional well-known forecasting models, and models optimized by other optimization algorithms, the experimental results demonstrate that the hybrid model has the best forecasting performance.
American Psychological Association (APA)
Jiang, Ping& Ma, Xuejiao& Liu, Feng. 2015. A New Hybrid Model Based on Data Preprocessing and an Intelligent Optimization Algorithm for Electrical Power System Forecasting. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1074801
Modern Language Association (MLA)
Jiang, Ping…[et al.]. A New Hybrid Model Based on Data Preprocessing and an Intelligent Optimization Algorithm for Electrical Power System Forecasting. Mathematical Problems in Engineering No. 2015 (2015), pp.1-17.
https://search.emarefa.net/detail/BIM-1074801
American Medical Association (AMA)
Jiang, Ping& Ma, Xuejiao& Liu, Feng. A New Hybrid Model Based on Data Preprocessing and an Intelligent Optimization Algorithm for Electrical Power System Forecasting. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1074801
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074801