Data clustering for energy efficiency monitoring

• Main Author: Chen, Deshun
• Other Authors: Ng Wee Keong
• Format: Final Year Project
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: http://hdl.handle.net/10356/59918
• Institution: Nanyang Technological University

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.