Predicting chiller system parameters using artificial neural networks : an experimental study
Air-conditioning is vital for Industrial, Manufacturing, and Commercial applications. Chillers are the core cooling source to provide air-conditioning to the required area which is a part of the HVAC system. Chiller units consume more energy compared to other systems in HVAC systems. Energy conse...
Saved in:
Main Author: | Venkatesalu Ishwariya |
---|---|
Other Authors: | Cai Wenjian |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/144572 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Stock prediction using artificial neural networks
by: Lim, Min
Published: (2021) -
Artificial neural networks for voltage-frequency prediction using on-die measurements
by: Kannan, Ponmithiran
Published: (2023) -
Prediction of ship added resistance in waves using an artificial neural network
by: Thangamuthu, Vijayazhagan
Published: (2021) -
Chiller energy consumption prediction : methods and system development
by: Xiao, Qianru
Published: (2016) -
Stock trading prediction using deep learning neural networks
by: Ong, Hao Cong
Published: (2021)