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A Short-Term Power Output Forecasting Model Based on Correlation Analysis and ELM-LSTM for Distributed PV System
Joint Authors
Yongsheng, Deng
Fengshun, Jiao
Jie, Zhang
Zhikeng, Li
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Accurate short-term power output forecasting results are conducive to reducing the scheduling difficulty of grid-connected operation of distributed photovoltaic (PV) systems, thus improving the safety and stability of power grid operation.
In this paper, a one-day-ahead short-term power output forecasting model based on correlation analysis and combination algorithms for distributed PV system is proposed to solve the problems within the current methods.
Firstly, the basic information of distributed PV system is introduced, and the main influence factors affecting the power output of distributed PV system are determined.
Secondly, the influence factors with higher correlation with PV output are selected by Spearman rank-order correlation coefficient (SROCC) analysis in multiple timescales.
Then, based on the multimodel univariate extreme learning machine (ELM) submodel and the single-model multivariate long short-term memory (LSTM) submodel, the ELM-LSTM model is established.
The case study analysis based on the actual data indicates that the ELM-LSTM forecasting model proposed in this paper has higher forecasting accuracy than the traditional forecasting methods.
American Psychological Association (APA)
Yongsheng, Deng& Fengshun, Jiao& Jie, Zhang& Zhikeng, Li. 2020. A Short-Term Power Output Forecasting Model Based on Correlation Analysis and ELM-LSTM for Distributed PV System. Journal of Electrical and Computer Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1183861
Modern Language Association (MLA)
Yongsheng, Deng…[et al.]. A Short-Term Power Output Forecasting Model Based on Correlation Analysis and ELM-LSTM for Distributed PV System. Journal of Electrical and Computer Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1183861
American Medical Association (AMA)
Yongsheng, Deng& Fengshun, Jiao& Jie, Zhang& Zhikeng, Li. A Short-Term Power Output Forecasting Model Based on Correlation Analysis and ELM-LSTM for Distributed PV System. Journal of Electrical and Computer Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1183861
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183861