A simplified prediction model for energy use of air conditioner in residential buildings based on monitoring data from the cloud platform-Reference-Cited by-同舟云学术

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A simplified prediction model for energy use of air conditioner in residential buildings based on monitoring data from the cloud platform

Published:2020-09 Issue: Volume:60 Page:102194
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Yan Lu,Liu Meng

Funder

National Key R&D Program of China

graduate research and innovation foundation of Chongqing, China

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference41 articles.

1. Trees vs neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption;Ahmad;Energy and Buildings,2017

2. A review of data-driven building energy consumption prediction studies;Amasyali;Renewable and Sustainable Energy Reviews,2018

3. Modeling and forecasting building energy consumption: A review of data-driven techniques;Bourdeau;Sustainable Cities and Society,2019

4. Data driven prediction models of energy use of appliances in a low-energy house;Candanedo;Energy and Buildings,2017

5. A strategy for short-term load forecasting by support vector regression machines;Ceperic;IEEE Transactions on Power Systems,2013

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