Intelligent Detection and Recovery of Missing Electric Load Data Based on Cascaded Convolutional Autoencoders
Joint Authors
Gao, Qiang
Dong, Li
Chen, Yuanyi
Ruan, Wei
Ying, Guode
Wang, Xin
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-07
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Under the background of Energy Internet, the ever-growing scale of the electric power system has brought new challenges and opportunities.
Numerous categories of measurement data, as the cornerstone of communication, play a crucial role in the security and stability of the system.
However, the present sampling and transmission equipment inevitably suffers from data missing, which seriously degrades the stable operation and state estimation.
Therefore, in this paper, we consider the load data as an example and first develop a missing detection algorithm in terms of the absolute difference sequence (ADS) and linear correlation to detect any potential missing data.
Then, based on the detected results, we put forward a missing recovery model named cascaded convolutional autoencoders (CCAE), to recover those missing data.
Innovatively, a special preprocessing method has been adopted to reshape the one-dimensional load data as a two-dimensional matrix, and hence, the image inpainting technologies can be conducted to address the problem.
Also, CCAE is designed to reconstruct the missing data grade by grade due to its priority strategy, which enhances the robustness upon extreme missing situations.
The numerical results on the load data of the Belgium grid validate the promising performance and effectiveness of the proposed solutions.
American Psychological Association (APA)
Wang, Xin& Chen, Yuanyi& Ruan, Wei& Gao, Qiang& Ying, Guode& Dong, Li. 2020. Intelligent Detection and Recovery of Missing Electric Load Data Based on Cascaded Convolutional Autoencoders. Scientific Programming،Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1209159
Modern Language Association (MLA)
Wang, Xin…[et al.]. Intelligent Detection and Recovery of Missing Electric Load Data Based on Cascaded Convolutional Autoencoders. Scientific Programming No. 2020 (2020), pp.1-20.
https://search.emarefa.net/detail/BIM-1209159
American Medical Association (AMA)
Wang, Xin& Chen, Yuanyi& Ruan, Wei& Gao, Qiang& Ying, Guode& Dong, Li. Intelligent Detection and Recovery of Missing Electric Load Data Based on Cascaded Convolutional Autoencoders. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1209159
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209159