Developing a whole building cooling energy forecasting model for on-line operation optimization using proactive system identification

Author:

Li Xiwang,Wen Jin,Bai Er-Wei

Funder

U.S. National Science Foundation

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference48 articles.

1. DOE. U.S. Buildings Energy Data Book; 2013. [cited 2015 01.10].

2. National Energy Technology Laboratory (NETL), Demand dispatch–intelligent demand for a more efficient grid. DOE/NETL-DE-FE0004001, Editor. Morgantown, West Virginia; August 2011.

3. Review of building energy modeling for control and operation;Li;Renew Sust Energy Rev,2014

4. Demand reduction in building energy systems based on economic model predictive control;Ma;Chem Eng Sci,2012

5. Performance of ANN-based predictive and adaptive thermal-control methods for disturbances in and around residential buildings;Moon;Build Environ,2012

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