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A Performance-Driven Economic Analysis of a LSTM Neural Network Used for Predicting Building Energy Consumption Cover

A Performance-Driven Economic Analysis of a LSTM Neural Network Used for Predicting Building Energy Consumption

Proceedings of the International Conference on Business Excellence
Volume 17 (2023): Issue 1 (July 2023)
By: Delia Bălăcian and  Stelian Stancu  
Open Access
|Jul 2023

Authors

Delia Bălăcian

delia.balacian@csie.ase.ro

Bucharest University of Economic Studies, Bucharest, Romania

Stelian Stancu

stelian.stancu@csie.ase.ro

Bucharest University of Economic Studies, Romanian Academy, Bucharest, Romania; Informatics and Economic Cybernetics Department; Centre for Industrial and Services Economics, Bucharest, Romania
DOI: https://doi.org/10.2478/picbe-2023-0005 | Journal eISSN: 2558-9652
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Language: English
Page range: 29 - 37
Published on: Jul 14, 2023
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Energy Consumption,
Artificial Neural Networks
Related subjects:
Business and economics,
Political economics,
Political economics, other,
Business management,
Business management, other,
Industrial chemistry,
Energy harvesting and conversion

© 2023 Delia Bălăcian, Stelian Stancu, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution 4.0 License.

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