Machine Learning Based Non-Intrusive Load Monitoring (NILM) System for Household Appliances Usage Analysis
(REF : S-0007)
|Features of Products / Solutions||
|Matched Trial Project||To be arranged|
Company: Division of Building Science and Technology, City University of Hong Kong
Address: Division of Building Science and Technology, College of Science & Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, China.
Name: Dr. TSE Chung-fai Norman
Tel: 3442 9836
Fax: 3442 9716
If you have interest in trial application of the I&T solutions, please click HERE.