
Deep Neural Network Configuration Sensitivity Analysis in Wind Power Forecasting
Author(s) -
Igor Kuzle,
Josip Đaković,
Bojan Franc,
Yongqian Liu
Publication year - 2022
Publication title -
energija
Language(s) - Uncategorized
Resource type - Journals
eISSN - 1849-0751
pISSN - 0013-7448
DOI - 10.37798/202170389
Subject(s) - wind power , artificial neural network , flexibility (engineering) , wind power forecasting , electric power system , computer science , renewable energy , electricity generation , deep learning , electricity , recurrent neural network , real time computing , reliability engineering , artificial intelligence , power (physics) , engineering , electrical engineering , statistics , physics , mathematics , quantum mechanics