Intelligent Data Analysis in Electric Power Engineering Applications

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

@InCollection{androvitsaneas_intelligent_2019,
  title =        "Intelligent {Data} {Analysis} in {Electric} {Power}
                 {Engineering} {Applications}",
  isbn13 =       "978-3-319-94030-4",
  URL =          "https://doi.org/10.1007/978-3-319-94030-4_11",
  abstract =     "This chapter presents various intelligent approaches
                 for modelling, generalization and knowledge extraction
                 from data, which are applied in different electric
                 power engineering domains of the real world.
                 Specifically, the chapter presents: (1) the application
                 of ANNs, inductive ML, genetic programming and wavelet
                 NNs, in the problem of ground resistance estimation, an
                 important problem for the design of grounding systems
                 in constructions, (2) the application of ANNs, genetic
                 programming and nature inspired techniques such as
                 gravitational search algorithm in the problem of
                 estimating the value of critical flashover voltage of
                 insulators, a well-known difficult topic of electric
                 power systems, (3) the application of specific
                 intelligent techniques (ANNs, fuzzy logic, etc.) in
                 load forecasting problems and in optimization tasks in
                 transmission lines. The presentation refers to
                 previously conducted research related to the
                 application domains and briefly analyses each domain of
                 application, the data corresponding to the problem
                 under consideration, while are also included a brief
                 presentation of each intelligent technique and
                 presentation and discussion of the results obtained.
                 Intelligent approaches are proved to be handy tools for
                 the specific applications as they succeed to generalize
                 the operation and behaviour of specific parts of
                 electric power systems, they manage to induce new,
                 useful knowledge (mathematical relations, rules and
                 rule based systems, etc.) and thus they effectively
                 assist the proper design and operation of complex real
                 world electric power systems.",
  booktitle =    "Machine {Learning} {Paradigms}: {Advances} in {Data}
                 {Analytics}",
  publisher =    "Springer",
  author =       "V. P. Androvitsaneas and K. Boulas and G. D. Dounias",
  editor =       "George A. Tsihrintzis and 
                 Dionisios N. Sotiropoulos and Lakhmi C. Jain",
  year =         "2019",
  DOI =          "doi:10.1007/978-3-319-94030-4_11",
  volume =       "149",
  series =       "ISRL",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, electric power systems,
                 Gravitational Search Algorithm, ground resistance
                 estimation, insulators, wavelet neural nets",
  isbn13 =       "978-3-319-94029-8",
  pages =        "269--313",
}

Genetic Programming entries for Vasilios P Androvitsaneas Konstantinos Boulas Georgios Dounias

Citations