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Fuzzy Transform Based Compression of Electric Signal Waveforms for Smart Grids
- Publication Year :
- 2017
-
Abstract
- In this paper, a fuzzy-based paradigm for data compression aimed at reducing the computational burden of data analysis in smart grids (SGs) is proposed. In the SG context, it is challenging achieving an efficient use of the channel communication bandwidth and a reduced need of the storage space for operational data. Thus, we discuss a fuzzy-based mathematical kernel which transforms the data into a new domain where their cardinality can be sensibly reduced, consequently allowing the development of more efficient data analysis algorithms. Detailed numerical results obtained from several test systems are presented and discussed in order to demonstrate the effectiveness of the proposed approach to handle SG operation problems.
- Subjects :
- Mathematical optimization
Data compression
least-squares methods
power systems
Software
Control and Systems Engineering
Human-Computer Interaction
Computer Science Applications1707 Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
02 engineering and technology
Fuzzy logic
Electric power system
0202 electrical engineering, electronic engineering, information engineering
Mathematics
Lossless compression
business.industry
020206 networking & telecommunications
Computer Science Applications
Smart grid
Computer engineering
Kernel (image processing)
020201 artificial intelligence & image processing
business
Image compression
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....3825447140a2222acaf14c6d84a5eb0a