Chiller System Modeling using PSO Optimization based NARX approach-Reference-Cited by-同舟云学术

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Chiller System Modeling using PSO Optimization based NARX approach

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)
language:
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Author:

Song Zilong¹,Li Xiaoli¹,Wang Kang²,Li Yang³

Affiliation:

1. Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124

2. Beijing University of Technology,Beijing Key Laboratory of Computational Intelligence and Intelligent System,Beijing,China,100124

3. School of International Studies, Communication University of China(CUC),Beijing,China,100024

Funder

Beijing Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10165684/10165785/10167314.pdf?arnumber=10167314

Reference15 articles.

1. State-space model for dynamic behavior of vapor compression liquid chiller

2. Forecasting of Photovoltaic Power by Means of Non-Linear Auto-Regressive Exogenous Artificial Neural Network and Time Series Analysis;mohamed;Electronics,2021

3. Research on Energy Management of a Virtual Power Plant Based on the Improved Cooperative Particle Swarm Optimization Algorithm

4. Neural net-works convergence using physicochemical data;mati;Journal of Chemical Information and Modeling,2006

5. Support vector regression model predictive control on a HVAC plant

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