Comparatively Analysis of Compression Chiller (Model# GVWF 260) Using Machine Learning Techniques

A Munir, A Ahmad, S Muneer, NS Naz… - … on Business Analytics …, 2023 - ieeexplore.ieee.org
A compression chiller is a type of refrigeration system used for cooling water or air. It uses
mechanical compression to compress a refrigerant gas, which then flows through a …

Development and performance evaluation of a chiller plant predictive operational control strategy by artificial intelligence

KC Chan, VTT Wong, AKF Yow, PL Yuen… - Energy and …, 2022 - Elsevier
Traditionally, chiller plants are controlled and monitored by a predetermined control strategy
to ensure appropriate operation based on the designed system configuration. With the use …

Review on modeling of vapor compression chillers: district cooling perspective

ST Kadam, I Hassan, MA Rahman… - … Journal of Air …, 2020 - World Scientific
Energy consumption and its associated consequences can be reduced by implementing
district cooling strategies that supply low temperature water to a wide range of end users …

Energy efficiency forecasting for central air-conditioning refrigeration systems based on deep neural network

H Song, Y Chen, J Li, T Wang… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Central air-conditioning is a complex system project, and the assessment and forecasting of
its performance often involves a very large number of factors. Accurate assessment of a …

Combine clustering and machine learning for enhancing the efficiency of energy baseline of chiller system

CW Chen, CC Li, CY Lin - Energies, 2020 - mdpi.com
Energy baseline is an important method for measuring the energy-saving benefits of chiller
system, and the benefits can be calculated by comparing prediction models and actual …

Comparative assessment to predict and forecast water-cooled chiller power consumption using machine learning and deep learning algorithms

E Chaerun Nisa, YD Kuan - Sustainability, 2021 - mdpi.com
Over the last few decades, total energy consumption has increased while energy resources
remain limited. Energy demand management is crucial for this reason. To solve this …

Chiller Optimization Using Data Mining Based on Prediction Model, Clustering and Association Rule Mining

EC Nisa, YD Kuan, CC Lai - Energies, 2021 - mdpi.com
The chiller is the major energy consuming HVAC component in a building. Currently, huge
chiller data is easy to obtain due to Internet of Things (IoT) technology development. In order …

Machine learning vs. hybrid machine learning model for optimal operation of a chiller

SH Park, KU Ahn, S Hwang, S Choi… - Science and Technology …, 2019 - Taylor & Francis
This article compares two modeling approaches for optimal operation of a turbo chiller
installed in an office building:(1) a machine learning model developed with artificial neural …

A comparative study of various machine learning methods for performance prediction of an evaporative condenser

P Behnam, M Faegh, MB Shafii, M Khiadani - International Journal of …, 2021 - Elsevier
Evaporative condensers are regarded as highly-efficient and eco-friendly heat exchangers
in refrigeration systems. Data-driven methods can play a key role in performance prediction …

An Improved GA-KRR Nested Learning Approach for Refrigeration Compressor Performance Forecasting

C Xu, X Liu, J Wang, J Zhang, J Cao… - 2019 IEEE 15th …, 2019 - ieeexplore.ieee.org
The long duration of refrigeration compressor performance tests is a key factor restricting the
quality testing efficiency and the delivery times. To reduce the time of quality tests in the …