Open AccessDemand Forecasting in Python: Deep Learning Model Based on LSTM Architecture versus Statistical Models
Author(s) -
Andrea Kolková,
Miroslav Navrátil
Publication year - 2021
Publication title -
acta polytechnica hungarica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 34
eISSN - 2064-2687
pISSN - 1785-8860
DOI - 10.12700/aph.18.8.2021.8.7
Subject(s) - python (programming language) , computer science , artificial intelligence , deep learning , architecture , statistical learning , machine learning , programming language , history , archaeology
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