Neural differential equations for temperature control in buildings under demand response programs-Reference-Cited by-同舟云学术

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Neural differential equations for temperature control in buildings under demand response programs

Published:2024-08 Issue: Volume:368 Page:123433
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Taboga Vincent^ORCID,Gehring Clement^ORCID,Cam Mathieu Le^ORCID,Dagdougui Hanane,Bacon Pierre-Luc

Publisher

Elsevier BV

Reference59 articles.

1. Optimisation of demand response in electric power systems, a review;Jordehi;Renew Sustain Energy Rev,2019

2. Tracking clean energy progress 2023,2023

3. Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review;Taheri;J Build Eng,2022

4. All you need to know about model predictive control for buildings;Drgoňa;Annu Rev Control,2020

5. Data-driven predictive control for demand side management: Theoretical and experimental results;Yin;Appl Energy,2024

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

1. A probabilistic model for real-time quantification of building energy flexibility;Advances in Applied Energy;2024-09

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