Model predictive control based on genetic algorithm and neural networks to optimize heating operation of a real low-energy building-Reference-Cited by-同舟云学术

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Model predictive control based on genetic algorithm and neural networks to optimize heating operation of a real low-energy building

Published:2022-07-05 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)
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Author:

Aruta Giuseppe¹,Ascione Fabrizio¹,Bianco Nicola¹,De Masi Rosa Francesca²,Mauro Gerardo Maria²,Vanoli Giuseppe Peter³

Affiliation:

1. Università degli Studi di Napoli Federico II,Department of Industrial Engineering - DII,Naples,Italy

2. Università degli Studi del Sannio,Department of Engineering - DING,Benevento,Italy

3. Università degli Studi del Molise,Department of Medicine and Health Sciences,Campobasso,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9854191/9854207/09854312.pdf?arnumber=9854312

Reference21 articles.

1. Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization;yang;App Energy,2020

2. Machine-learning-based model predictive control with instantaneous linearization – A case study on an air-conditioning and mechanical ventilation system

3. Simulation-based model predictive control by the multi-objective optimization of building energy performance and thermal comfort

4. Weather-data-based control of space heating operation via multi-objective optimization: Application to Italian residential buildings

5. A framework for NZEB design in Mediterranean climate: Design, building and set-up monitoring of a lab-small villa

Cited by 2 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. Optimizing Space Cooling Systems in Single-Family Houses: A Neural Network-Based Model Predictive Control Approach for Energy Efficiency and Comfort Enhancement;2024 9th International Conference on Smart and Sustainable Technologies (SpliTech);2024-06-25

2. Optimizing heating operation via GA- and ANN-based model predictive control: Concept for a real nearly-zero energy building;Energy and Buildings;2023-08

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