Trial Project |
Adoption of AI on Chiller Plant
(REF : P-0138) |
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Matched I&T Wish | ||||||||||||||||||||||
Matched I&T Solution | ||||||||||||||||||||||
Solution Feature |
(2) Optimization – technicians’ knowhow can be retained and optimized via machine learning and optimization engine. And it will use the knowhow to generate optimized operation sequence for chiller plant management with different objectives, such as energy efficient, load-balancing, and so on. (3) Predictive maintenance – The machine learning engine can be used to identify fault patterns of equipment in the chiller plant in order to predict failure of equipment for predictive maintenance purpose. |
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Trial Information |
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Final Report | EMSD-M&V-P0138-W0143-S0067_Final.pdf | |||||||||||||||||||||
Info on I&T Solution Provider |
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