Building energy consumption on-line forecasting using physics based system identification-Reference-Cited by-同舟云学术

Building energy consumption on-line forecasting using physics based system identification

Published:2014-10 Issue: Volume:82 Page:1-12
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Li Xiwang,Wen Jin

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference36 articles.

1. U.S. DOE, Buildings Energy Data Book, http://buildingsdatabook.eren.doe.gov/, 2011.

2. Review article: methods for fault detection, diagnostics, and prognostics for building systems—a review, Part I;Katipamula;HVAC&R Research,2005

3. National Energy Technology Laboratory (NETL), Demand Dispatch–Intelligent Demand for a More Efficient Grid, in: DOE/NETL-DE-FE0004001, Morgantown, West Virginia, August 2011.

4. U.S.D.o.E. Office of Energy Efficiency and Renewable Energy, EnergyPlus Energy Simulation Software: About EnergyPlus.

5. A Modular building controls virtual test Bed for the Integration of heterogeneous systems;Wetter,2008

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