top of page

OPTIMIZING BOILER EFFICIENCY WITH DATA MINING

Summer 2014

Member of the research group in Ho Chi Minh City University of Technology

The aim of project is to apply data mining techniques to discover unknown useful knowledge from a large historical boiler operation data, to improve combustion efficiency.

My tasks: Proposed and implemented testing methods using statistical and data mining approaches to improve efficiency boiler:

  • Cluster data to reduce the amount of data using K-means and genetic algorithm

  • Simulate the boiler using neural network

Overall result: the performance was improved 1.0-1.48% in
normal boiler load and average value 0.96% - 1.43%.

bottom of page