An artificial intelligence (AI)-driven method for forecasting cooling and heating loads in office buildings by integrating building thermal load characteristics

Author:

Zhao JingORCID,Yuan XiulianORCID,Duan Yaoqi,Li Haonan,Liu Dehan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

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4. Four years monitoring of heat pump, solar thermal and PV system in two net-zero energy multi-family buildings;Dermentzis;J. Build. Eng.,2021

5. Determining HVAC system retrofit measures to improve cost-optimum energy efficiency level of high-rise residential buildings;Akguc;J. Build. Eng.,2022

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