Source: https://izdanja.smeits.rs/index.php/ptk/article/view/3449
Timestamp: 2019-04-25 12:20:34+00:00

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Razvoj sistema koji koriste obnovljive izvore energije zahteva primenu sofisticiranih tehnika u cilju tačne procene raspoloživog energetskog potencijala i njihovog efikasnog upravljanja i optimizacije. Osnovna karakteristika metoda veštačke inteligencije je da one koriste računarske sisteme za izvršavanje zadataka koji zahtevaju inteligentno ponašanje, kao što su učenje, rasuđivanje, rešavanje problema i donošenje odluka u prisustvu neizvesnosti. To posebno može biti korisno u modelovanju, analizi, optimizaciji i predikciji performansi i upravljanju sistemima sa obnovljivim energijama i efikasnijoj upotrebi energije u termoenergetskim, termotehničkim i procesnim postrojenjima. Ovi sistemi su izrazito nelinearni, složeni i dinamički, gde osnovni fizički odnosi nisu u potpunosti razjašnjeni i gde su dostupni podaci često zašumljeni i/ili nekompletni. Višeparametarski i višekriterijumski aspekt u projektovanju ovih sistema nije lako tretirati primenom analitičkih metoda, fizičkih modela ili numeričkih metoda. Metode veštačke inteligencije mogu da obezbede obećavajuću i pouzdanu alternativu, ili dopunu tradicionalnim determinističkim i statističkim prilazima koji se koriste u energetskoj efikasnosti i obnovljivim izvorima energije. Ove metode omogućavaju izučavanje sistema bez ikakvog poznavanja tačnih relacija koje opisuju njihov rad, i jednom kada se obuče, dozvoljavaju izvršavanje složenih zadataka kao što su modelovanje, predikcija, identifikacija, optimizacija i upravljanje. Veštačke neuronske mreže, kao najčešće korišćena metodologija, i njihova primena u energetskoj efikasnosti i sistemima koji koriste obnovljive energije, tema su ovog rada.
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