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Energy consumption prediction of air-conditioning systems in buildings by selecting similar days based on combined weights

  • Published:2017-09 Issue: Volume:151 Page:157-166
  • ISSN:0378-7788
  • Container-title:Energy and Buildings
  • language:en
  • Short-container-title:Energy and Buildings

Author:

Ma Zhongjiao,Song Jialin,Zhang Jili

Funder

National Natural Science Foundation of China

Dalian Municipal Science and Technology Plan

Publisher

Elsevier BV

Subject

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

Reference27 articles.

1. Annual Report on China Building Energy Efficiency 2014;Building Energy Research Center in Tsinghua University,2014

2. Data analysis and stochastic modelling of lighting energy use in large office buildings in China;Zhou;Energy Build.,2015

3. A review on buildings energy consumption information;Pérez-Lombard;Energy Build.,2008

4. Building lighting energy consumption prediction for supporting energy data analytics;Amasyali;Procedia Eng.,2016

5. Holidays short-term load forecasting using fuzzy improved similar day method;Ebrahimi;Int. Trans. Electr. Energy Syst.,2013
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