Open AccessA novel model for the prediction of long-term building energy demand: LSTM with Attention layer
Author(s) -
Yuan Gao,
Chengkuan Fang,
Yingjun Ruan
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/294/1/012033
Subject(s) - computer science , mean absolute percentage error , term (time) , recurrent neural network , field (mathematics) , artificial neural network , dependency (uml) , energy (signal processing) , artificial intelligence , set (abstract data type) , time series , machine learning , deep learning , statistics , physics , mathematics , quantum mechanics , pure mathematics , programming language