Results
eNauka >
Results >
Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods
| Title: | Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods | Authors: | Asefi, Sajjad; Mitrovic, Mile; Cetenovic, Dragan N   ; Levi, Victor; Gryazina, Elena; Terzija, Vladimir |
Issue Date: | 2023 | Publication: | SUSTAINABLE ENERGY GRIDS & NETWORKS | ISSN: | 2352-4677 Sustainable Energy Grids & Networks Search Idenfier |
Publisher: | [Oxford] : Elsevier Ltd. | Type: | Article | Collation: | vol. 35 str. 101116-101116 | DOI: | 10.1016/j.segan.2023.101116 | WoS-ID: | 001068747600001 | Scopus-ID: | 2-s2.0-85166961930 | URI: | https://enauka.gov.rs/handle/123456789/832261 | Project: | Skoltech Ministry of Education and Science of Russian Federation [075-10-2021-067, 000000S707521QJX0002] Engineering and Physical Sciences Research Council (EPSRC) of UK [EP/S00078X/2, EP/T021969/1] Ministry of Science, Technological Development and In |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21M21 |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.