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@ARTICLE{Basiri:856136,
      author       = {Basiri, Farnaz and Casadiego, Jose and Timme, Marc and
                      Witthaut, Dirk},
      title        = {{I}nferring power-grid topology in the face of
                      uncertainties},
      journal      = {Physical review / E},
      volume       = {98},
      number       = {1},
      issn         = {2470-0045},
      address      = {Woodbury, NY},
      publisher    = {Inst.},
      reportid     = {FZJ-2018-05778},
      pages        = {012305},
      year         = {2018},
      abstract     = {We develop methods to efficiently reconstruct the topology
                      and line parameters of a power grid from the measurement of
                      nodal variables. We propose two compressed sensing
                      algorithms that minimize the amount of necessary measurement
                      resources by exploiting network sparsity, symmetry of
                      connections, and potential prior knowledge about the
                      connectivity. The algorithms are reciprocal to established
                      state estimation methods, where nodal variables are
                      estimated from few measurements given the network structure.
                      Hence, they enable an advanced grid monitoring where both
                      state and structure of a grid are subject to uncertainties
                      or missing information.},
      cin          = {IEK-STE},
      ddc          = {530},
      cid          = {I:(DE-Juel1)IEK-STE-20101013},
      pnm          = {153 - Assessment of Energy Systems – Addressing Issues of
                      Energy Efficiency and Energy Security (POF3-153) / CoNDyNet
                      - Kollektive Nichtlineare Dynamik Komplexer Stromnetze
                      $(PIK_082017)$ / VH-NG-1025 - Helmholtz Young Investigators
                      Group "Efficiency, Emergence and Economics of future supply
                      networks" $(VH-NG-1025_20112014)$},
      pid          = {G:(DE-HGF)POF3-153 / $G:(Grant)PIK_082017$ /
                      $G:(HGF)VH-NG-1025_20112014$},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30110818},
      UT           = {WOS:000438350200006},
      doi          = {10.1103/PhysRevE.98.012305},
      url          = {https://juser.fz-juelich.de/record/856136},
}