Real-Time predictive management of a multi-unit HVAC system based on heuristic optimization. A health center case study-Reference-Cited by-同舟云学术

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Real-Time predictive management of a multi-unit HVAC system based on heuristic optimization. A health center case study

Published:2023-09 Issue: Volume:295 Page:113315
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Schierloh R.M.^ORCID,Bragagnolo S.N.,Vega J.R.,Vaschetti J.C.^ORCID

Funder

Universidad Tecnológica Nacional

Consejo Nacional de Investigaciones Científicas y Técnicas

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference39 articles.

1. Multi-objective optimization of building energy performance and indoor thermal comfort: a new method using artificial bee colony (ABC);Delgarm;Energy Build.,2016

2. Model predictive control optimization for rapid response and energy efficiency based on the state-space model of a radiant floor heating system;Chen;Energy Build.,2021

3. Whole building energy model for HVAC optimal control: a practical framework based on deep reinforcement learning;Zhang;Energy Build.,2019

4. Development of a back-propagation neural network and adaptive grey wolf optimizer algorithm for thermal comfort and energy consumption prediction and optimization;Li;Energy Build.,2021

5. Building optimization and control algorithms implemented in existing BEMS using a web based energy management and control system;Papantoniou;Energy Build.,2015

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1. Integrating few-shot personalized thermal comfort model and reinforcement learning for HVAC demand response optimization;Journal of Building Engineering;2024-08

2. Towards Sustainable Buildings: Chilled Water System Analysis & Efficiency Modeling;2024 6th Global Power, Energy and Communication Conference (GPECOM);2024-06-04

3. Energy and comfort aware operation of multi-zone HVAC system through preference-inspired deep reinforcement learning;Energy;2024-04

4. Multi-agent-based real-time operation of microgrids employing plug-in electric vehicles and building prosumers;Sustainable Energy, Grids and Networks;2024-03

5. Computational Engineering based approach on Artificial Intelligence and Machine learning-Driven Robust Data Centre for Safe Management;Journal of Machine and Computing;2023-10-05

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