Investigation of building load calculation from the perspective of grand canonical ensemble theory and historical data identification
Author:
Affiliation:
1. Polytechnic Institute, Zhejiang University,Hangzhou,China
2. College of Energy Engineering, Zhejiang University,Hangzhou,China
Funder
Natural Science Foundation of China
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9998874/9998878/09998970.pdf?arnumber=9998970
Reference15 articles.
1. Forecasting the Heat Load of Residential Buildings with Heat Metering Based on CEEMDAN-SVR
2. Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks
3. Thermodynamics of heating a room
4. MInistry of Housing and Urban-Rural Development if the People's Republic of China;Design Code for Heating Ventilation and air Conditioning of Civil Buildings,2012
5. An improved office building cooling load prediction model based on multivariable linear regression
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