Electricity Load Forecasting Using Deep Learning and Novel Hybrid Models
Author(s) -
Muhammed Sütçü,
Kübra Nur Şahi̇n,
Yunus KOLOĞLU,
Mevlüt Emirhan ÇELİKEL,
İbrahim Tümay GÜLBAHAR
Publication year - 2022
Publication title -
sakarya university journal of science
Language(s) - English
Resource type - Journals
eISSN - 2147-835X
pISSN - 1301-4048
DOI - 10.16984/saufenbilder.982639
Subject(s) - electricity , computer science , electricity market , stability (learning theory) , discretization , order (exchange) , probabilistic forecasting , support vector machine , artificial intelligence , machine learning , focus (optics) , electricity demand , demand forecasting , industrial engineering , operations research , engineering , electricity generation , business , finance , probabilistic logic , electrical engineering , power (physics) , quantum mechanics , mathematical analysis , physics , mathematics , optics
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