Unsupervised feature selection using swarm intelligence and consensus clustering for automatic fault detection and diagnosis in Heating Ventilation and Air Conditioning systems.
Mitchell YuwonoYing GuoJosh WallJiaming LiSam WestGlenn PlattSteven W. SuPublished in: Appl. Soft Comput. (2015)
Keyphrases
- air conditioning
- swarm intelligence
- unsupervised feature selection
- energy saving
- control system
- solar energy
- ant colony optimization
- particle swarm optimization
- evolutionary computation
- computational intelligence
- consensus clustering
- energy consumption
- data sets
- particle swarm optimization pso
- data clustering
- multi objective
- expert systems
- renewable energy
- artificial intelligence
- machine learning