@article{1469949,
      note = {Description based upon print version of record.},
      author = {Xie, Le. and Weng, Yang. and Rajagopal, Ram.},
      url = {http://library.usi.edu/record/1469949},
      title = {Data science and applications for modern power systems /},
      publisher = {Springer,},
      abstract = {This book offers a comprehensive collection of research  articles that utilize datain particular large data setsin  modern power systems operation and planning. As the power  industry moves towards actively utilizing distributed  resources with advanced technologies and incentives, it is  becoming increasingly important to benefit from the  available heterogeneous data sets for improved  decision-making. The authors present a first-of-its-kind  comprehensive review of big data opportunities and  challenges in the smart grid industry. This book provides  succinct and useful theory, practical algorithms, and case  studies to improve power grid operations and planning  utilizing big data, making it a useful graduate-level  reference for students, faculty, and practitioners on the  future grid. Presents a comprehensive review of data  sciences for the power industry; Contains state-of-the-art  research articles; Provides practical algorithms and case  studies.},
      doi = {https://doi.org/10.1007/978-3-031-29100-5},
      recid = {1469949},
      pages = {1 online resource (446 p.).},
      address = {Cham :},
      year = {2023},
}