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Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart city

  • Published:2020-09-17 Issue:1 Volume:49 Page:127-143
  • ISSN:0961-3218
  • Container-title:Building Research & Information
  • language:en
  • Short-container-title:Building Research & Information

Author:

V E Sathishkumar1ORCID,Shin Changsun1ORCID,Cho Yongyun1ORCID

Affiliation:

1. Department of Information and Communication Engineering, Sunchon National University, Suncheon Si, Republic of Korea

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea

Publisher

Informa UK Limited

Subject

Building and Construction,Civil and Structural Engineering

Cited by 45 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy efficient design of rural prefabricated buildings based on ANN and NSGA-II;International Journal of Renewable Energy Development;2024-08-15

2. A Contiguous Temporal Chebyshev Convolutional Optimized Network (CoC-TemNet) Model for Energy Prediction in IoT Enabled Smart City Networks;IEEE Internet of Things Journal;2024-07-01

3. Interpretable Long-Term Forecasting Based on Dynamic Attention in Smart City;International Journal of Pattern Recognition and Artificial Intelligence;2024-06-14

4. Predicting Power Consumption Using Machine Learning Techniques;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

5. Forecasting Method of Power Consumption Information for Power Users Based on Cloud Computing;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
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