Data clustering for energy efficiency monitoring
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 tec...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/59918 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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