Open AccessUsing the Bayesian Approach to Forecasting Electricity Demand Taking into Account the Impact of Social Processes in Ukraine
Author(s) -
Dimitri Yatsenko,
V.A. Popov,
Anatolii Ihorovych Zamulko,
O. V. Adanikov
Publication year - 2021
Publication title -
science and education a new dimension
Language(s) - English
Resource type - Journals
eISSN - 2308-5258
pISSN - 2308-1996
DOI - 10.31174/send-nt2021-255ix32-11
Subject(s) - electricity demand , bayesian probability , electricity , economics , econometrics , environmental economics , demand forecasting , operations research , computer science , electricity generation , engineering , operations management , artificial intelligence , power (physics) , physics , quantum mechanics , electrical engineering