- 专利标题: Submodular load clustering with robust principal component analysis
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申请号: US16392494申请日: 2019-04-23
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公开(公告)号: US11264799B2公开(公告)日: 2022-03-01
- 发明人: Yishen Wang , Haifeng Li , Di Shi , Qibing Zhang , Chunlei Xu , Zhiwei Wang
- 申请人: Yishen Wang , Haifeng Li , Di Shi , Qibing Zhang , Chunlei Xu , Zhiwei Wang
- 申请人地址: US CA San Jose; CN Nanjing; US CA San Jose; CN Nanjing; CN Nanjing; US CA San Jose
- 专利权人: Yishen Wang,Haifeng Li,Di Shi,Qibing Zhang,Chunlei Xu,Zhiwei Wang
- 当前专利权人: Yishen Wang,Haifeng Li,Di Shi,Qibing Zhang,Chunlei Xu,Zhiwei Wang
- 当前专利权人地址: US CA San Jose; CN Nanjing; US CA San Jose; CN Nanjing; CN Nanjing; US CA San Jose
- 代理机构: PatentPC
- 代理商 Bao Tran
- 主分类号: H02J13/00
- IPC分类号: H02J13/00 ; G05B13/04 ; H02J3/00
摘要:
Systems and methods manage electrical loads in a grid by applying Robust principal component analysis (R-PCA) to decompose annual load profiles into low-rank components and sparse components; extracting one or more predetermined features; constructing a similarity graph; selecting submodular cluster centers through the constructed similarity graph; determining a cluster assignment based on selected centers; and applying the clustering assignment for load analysis.
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