Detail Machine-Learning Approaches to Power-System Security Assessment   Oleh:  Wehenkel, L. Jenis: Article from Bulletin/Magazine Dalam koleksi: IEEE Intelligent Systems vol. 12 no. 5 (1997), page 60-72. Topik: security; machine - learning; power - system; security Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: II60.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel The paper discusses a framework that uses machine learning and other automatic - learning methods to assess power - system security. The framework exploits simulation models in parallel to screen diverse simulation scenarios of a system, yielding a large database. Using data mining techniques, the framework extracts synthetic information about the simulated system's main features from this database. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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