Short-term office temperature forecasting through a data-driven approach integrated with bidirectional gated recurrent neural network
-
Published:2024-07
Issue:
Volume:314
Page:114231
-
ISSN:0378-7788
-
Container-title:Energy and Buildings
-
language:en
-
Short-container-title:Energy and Buildings
Author:
Zhang Shuo,
Gurusamy SaravananORCID,
James-Chakraborty KathleenORCID,
Basu Biswajit
Funder
Irish Research Council
Reference39 articles.
1. I. Clitan, V. Muresan, M. Abrudean, A.F. Clitan, I. Stefan, Principles of energy saving in buildings. a survey, in: 2023 17th International Conference on Engineering of Modern Electric Systems (EMES), Oradea, Romania, 2023, pp. 1–4. doi:10.1109/EMES58375.2023.10171715.
2. Attention-LSTM architecture combined with Bayesian hyperparameter optimization for indoor temperature prediction;Jiang;Build. Environ.,2022
3. Fractional order models for system identification of thermal dynamics of buildings;Chen;Energy Build.,2016
4. Cooperative optimization of building energy systems in an economic model predictive control framework;Staino;Energy Build.,2016
5. Optimal energy management in smart sustainable buildings – a chance-constrained model predictive control approach;Nagpal;Energy Build.,2021
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献