Lower and upper threshold limit for artificial neural network based chilled and condenser water temperatures set-point control in a chilled water system

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Lower and upper threshold limit for artificial neural network based chilled and condenser water temperatures set-point control in a chilled water system

Cited by 8 publications

References 20 publications

Developing a Control Strategy for Minimum Airflow Setting Considering CO2 Level and Energy Consumption in a Variable Air Volume System

Developing a Control Strategy for Minimum Airflow Setting Considering CO2 Level and Energy Consumption in a Variable Air Volume System

Comparison of electricity savings in community units through ESS and PV generation using ANN-based prediction model under Korean climatic conditions

Energy consumption analysis of building air-conditioning systems using centrifugal compressor with gas bearing under annual operating conditions

Contact Info

Product

Resources

About