Application of Improved Fuzzy C-means Clustering Analysis Method of Load Characteristics Stats Article Swipe
Li Lin
,
Dong Liu
,
Ying Du
,
Junli Liu
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.2991/icmemtc-16.2016.234
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.2991/icmemtc-16.2016.234
Power load is the active part of safe and stable operation of the entire power system.Establishing realistic dynamic load model is important meaning for power system planning and operation.In this paper practical load modeling idea is adopted for clustering analysis of the data of load characteristics with fuzzy C-means method to provide a basis for load management decisions.
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- en
- Landing Page
- https://doi.org/10.2991/icmemtc-16.2016.234
- https://www.atlantis-press.com/article/25852336.pdf
- OA Status
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- References
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W2344700440Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2991/icmemtc-16.2016.234Digital Object Identifier
- Title
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Application of Improved Fuzzy C-means Clustering Analysis Method of Load Characteristics StatsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2016Year of publication
- Publication date
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2016-01-01Full publication date if available
- Authors
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Li Lin, Dong Liu, Ying Du, Junli LiuList of authors in order
- Landing page
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https://doi.org/10.2991/icmemtc-16.2016.234Publisher landing page
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https://www.atlantis-press.com/article/25852336.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.atlantis-press.com/article/25852336.pdfDirect OA link when available
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Computer science, Cluster analysis, Fuzzy logic, Data mining, Fuzzy clustering, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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