Public Content Library

Machine Learning to Facilitate District Energy System Optimization: A Pharmaceutical Case Study

09-14-2017 12:55

Summary

How do you effectively optimize cooling loads in district-scale energy systems? Current algorithm-based optimization solutions are effective, but they require site-specific customization. The ideal solution incorporates integrated machine learning, which enables algorithms to improve their performance over time. At Optimum Energy, we have been doing research and development on machine learning technology for over a year. This presentation will discuss results and observations from our pilot test at a Fortune 100 pharmaceutical facility, along with implications for the industry.

Speaker

Ian Dempster, Optimum Energy



#Chillers #NorthAmerica #UnitedStates #Optimization #SystemUpgrade #EnergyEfficiency #2015 #CampusEnergyConference #OptimumEnergy #ConferenceProceeding #Data

Statistics
0 Favorited
1 Views
1 Files
0 Shares
19 Downloads

Tags and Keywords

Attachment(s)
pdf file
Machine Learning to Facilitate District Energy System Opt...   519K   1 version
Uploaded - 09-14-2017
Ian Dempster, Optimum Energy