Data Driven Chiller Sequencing for Reducing HVAC Electricity Consumption in Commercial Buildings

Author:

Zheng Zimu1,Chen Qiong2,Fan Cheng3,Guan Nan1,Vishwanath Arun4,Wang Dan1,Liu Fangming2

Affiliation:

1. The Hong Kong, Polytechnic University

2. Huazhong University of Science and Technology

3. Shenzhen University

4. IBM Research Australia

Funder

National Natural Science Foundation of China

the Hong Kong Polytechnic University

the National Key Research & Development Plan

Publisher

ACM

Reference44 articles.

1. Heating Ventilation and Air Conditioning. http://eex.gov.au/technologies/heating-ventilation-and-air-conditioning/ 2018. Heating Ventilation and Air Conditioning. http://eex.gov.au/technologies/heating-ventilation-and-air-conditioning/ 2018.

2. A review on buildings energy consumption information

3. Property Council of Australia. Survey of Operating Costs: Office Buildings. https://goo.gl/7oT1W7 2018. Property Council of Australia. Survey of Operating Costs: Office Buildings. https://goo.gl/7oT1W7 2018.

4. Smart heating control with occupancy prediction

5. A Data Driven Pre-cooling Framework for Energy Cost Optimization in Commercial Buildings

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