{"id":2548,"date":"2025-09-23T07:45:16","date_gmt":"2025-09-23T05:45:16","guid":{"rendered":"https:\/\/kee.fei.tuke.sk\/?page_id=2548"},"modified":"2025-09-23T10:43:10","modified_gmt":"2025-09-23T08:43:10","slug":"big-data-v-elektroenergetike","status":"publish","type":"page","link":"https:\/\/kee.fei.tuke.sk\/?page_id=2548","title":{"rendered":"Big data v elektroenergetike"},"content":{"rendered":"\n
\u0160tudijn\u00fd odbor:<\/strong><\/td>Elektrotechnika<\/td><\/tr>
\u0160tudijn\u00fd program:<\/strong><\/td>Elektroenergetika<\/td><\/tr>
Rozsah:<\/strong><\/td>2\/2\/1 (P\/CL\/PP)<\/td><\/tr>
Po\u010det kreditov:<\/strong><\/td>6<\/td><\/tr>
Osoba zodpovedn\u00e1 za predmet:<\/strong><\/td>doc. Ing. Jaroslav Petr\u00e1\u0161, PhD.<\/td><\/tr>
Predn\u00e1\u0161a:<\/strong><\/td>doc. Ing. Jaroslav Petr\u00e1\u0161, PhD.<\/td><\/tr>
Cvi\u010d\u00ed:<\/strong><\/td>doc. Ing. Jaroslav Petr\u00e1\u0161, PhD., Ing. \u013dubom\u00edr Pallaj<\/td><\/tr>
Podmie\u0148uj\u00face predmety:<\/strong><\/td>\u2013<\/td><\/tr>
Hodnotenie a ukon\u010denie:<\/strong><\/td>z\u00e1po\u010det a sk\u00fa\u0161ka.<\/td><\/tr>
Priebe\u017en\u00e9 hodnotenie:<\/strong><\/td>Test a projektov\u00e1 pr\u00e1ca.<\/td><\/tr>
Z\u00e1vere\u010dn\u00e9 hodnotenie:<\/strong><\/td>sk\u00fa\u0161ka.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Cie\u013e predmetu<\/strong>: Obozn\u00e1mi\u0165 \u0161tudentov s n\u00e1strojmi strojov\u00e9ho u\u010denia v elektroenergetike, pokro\u010dil\u00fdmi postupmi programovania v jazyku Python pre aplik\u00e1ciu na \u00falohy v elektroenergetike, met\u00f3dami \u0161tatistick\u00e9ho vyhodnocovania ve\u013ek\u00fdch d\u00e1t z\u00edskan\u00fdch IoT zariadeniami v elektroenergetike.<\/p>\n\n\n\n

Stru\u010dn\u00e1 osnova predmetu<\/h4>\n\n\n\n
  1. Z\u00e1kladn\u00e9 defin\u00edcie a pojmy z oblasti umelej inteligencie. Neur\u00f3nov\u00e9 siete, z\u00e1kladn\u00e9 rozdelenie architekt\u00far, typick\u00e9 oblasti ich pou\u017eitia v elektroenergetike, tr\u00e9novanie modelov strojov\u00e9ho u\u010denia pre predik\u010dn\u00e9 \u00falohy na trhu s elektrickou energiou. Pr\u00edprava d\u00e1t, tenzory, feature engineering.<\/li>
  2. Supervised learning, rekurentn\u00e9 NN pre predikcie v oblasti elektroenergetiky, unsupervised learning, klasteriza\u010dn\u00e9 algoritmy.<\/li>
  3. Posil\u0148ovacie u\u010denie v elektroenergetike a v automatizovan\u00fdch elektroin\u0161tala\u010dn\u00fdch syst\u00e9moch.<\/li>
  4. Z\u00e1klady programovania v jazyku Python, premenn\u00e9, d\u00e1tov\u00e9 typy, cykly, ostatn\u00e9 kon\u0161trukty jazyka, funkcie, moduly, bal\u00ed\u010dky, triedy, objekty, kni\u017enica NumPy pre vedeck\u00e9 v\u00fdpo\u010dty v elektroenergetike.<\/li>
  5. Kni\u017enice Tensorflow, TensorflowJS a Keras pre implement\u00e1ciu NN siet\u00ed pre \u00falohy z oblasti elektroenergetiky, predik\u010dn\u00fdch \u00faloh na trhu s elektrickou energiou.<\/li>
  6. \u0160tatistick\u00e9 met\u00f3dy pre ve\u013ek\u00e9 d\u00e1ta v elektroenergetike \u2013 \u0161tatistick\u00e9 triedenie, vizualiz\u00e1cia \u0161tatistick\u00fdch \u00fadajov, charakteristiky polohy, charakteristiky variability, pravdepodobnos\u0165, n\u00e1hodn\u00e9 premenn\u00e9, inferen\u010dn\u00e1 \u0161tatistika, dvojrozmern\u00e1 \u0161tatistika, kontingencia a korel\u00e1cia, ostatn\u00e9 \u0161tatistick\u00e9 met\u00f3dy, defin\u00edcia ve\u013ek\u00fdch d\u00e1t, zber a z\u00e1znam ve\u013ek\u00fdch d\u00e1t z IoT zariaden\u00ed v elektroenergetike.<\/li><\/ol>\n\n\n\n

    \u010casov\u00fd rozvrh v\u00fdu\u010dby<\/h4>\n\n\n\n

    Odpor\u00fa\u010dan\u00e1 literat\u00fara<\/h4>\n\n\n\n
    1. Francois Chollet: Deep learning v jazyku Python, Grada, 2023, 2. vyd, ISBN: 9788027151332<\/li>
    2. Phil Winder: Reinforcement learning, O’Reilly Media, Inc, USA, ISBN: 1098114833<\/li>
    3. Rudolf Pecinovsk\u00fd: Za\u010d\u00edn\u00e1me programovat v jazyku Python, 2. vydanie, Grada, 2022, ISBN: 978-80-271-3609-4<\/li>
    4. Gant Laborde: Learning Tensorflow.js, O’Reilly Media, Inc., 2021, ISBN: 9781492090793<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"

      \u0160tudijn\u00fd odbor: Elektrotechnika \u0160tudijn\u00fd program: Elektroenergetika Rozsah: 2\/2\/1 (P\/CL\/PP) Po\u010det kreditov: 6 Osoba zodpovedn\u00e1 za predmet: doc. Ing. Jaroslav Petr\u00e1\u0161, PhD. Predn\u00e1\u0161a: doc. Ing. Jaroslav…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=\/wp\/v2\/pages\/2548"}],"collection":[{"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2548"}],"version-history":[{"count":2,"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=\/wp\/v2\/pages\/2548\/revisions"}],"predecessor-version":[{"id":2586,"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=\/wp\/v2\/pages\/2548\/revisions\/2586"}],"wp:attachment":[{"href":"https:\/\/kee.fei.tuke.sk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2548"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}