Please use this identifier to cite or link to this item:
Title: Data clustering for energy efficiency monitoring
Authors: Chen, Deshun
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2014
Abstract: Energy efficiency analysis of machinery in the industry has become an active topic of research in the field of Computer Science. Many researches have focused on applying data mining knowledge into the energy consumption determination process. The main aim of deploying the data mining techniques in the industry field is to make the real‐time decision which has been proved to be very challenging due to the highly resource‐constrained computing, communicating capacities, and huge volume of fast‐changed data generated by the machine. This work provides an overview of how traditional data mining algorithms are applied for energy consumption analysis. The data is generated from the Injection molding machine.
Schools: School of Computer Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP Report Chen Deshun (U1021974C).pdf
  Restricted Access
1.26 MBAdobe PDFView/Open

Page view(s)

Updated on Jul 19, 2024

Download(s) 50

Updated on Jul 19, 2024

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.