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eNauka >  Results >  Optimum input sequence size for a sliding window-based LSTM neural network used in short-term electrical load forecasting
Title: Optimum input sequence size for a sliding window-based LSTM neural network used in short-term electrical load forecasting
Authors: Urosevic, Vladimir; Dimitrijević, Sonja  
Issue Date: 2021
Publication: 2021 29TH TELECOMMUNICATIONS FORUM (TELFOR)
Type: Conference Paper
DOI: 10.1109/telfor52709.2021.9653206
WoS-ID: 000838086600129
Scopus-ID: 2-s2.0-85124587737
URI: https://enauka.gov.rs/handle/123456789/467940
https://oaipupin.imp.bg.ac.rs/dspace/handle/123456789/5459
Project: Ministry of Education, Science and Technological Development of the Republic of Serbia  
Metadata source: Migracija
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