Research on Load Forecasting Method Based on Building Load Database of Typical Low Carbon Scenarios in Border and Cross Border Areas-Reference-Cited by-同舟云学术

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Research on Load Forecasting Method Based on Building Load Database of Typical Low Carbon Scenarios in Border and Cross Border Areas

Published:2023-09-15 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE)
language:
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Author:

Chen Shumin¹,Liang Shukui²,Zhang Hao¹,You Guangzeng¹,Qiao Biao²,Qin Yipeng²

Affiliation:

1. China Southern Power Grid,Kunming,China

2. Institute of Building Environment and Energy Conservation, China Academy of Building Research,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10351781/10351782/10351982.pdf?arnumber=10351982

Reference14 articles.

1. The Application of Artificial Neural Networks in Predicting the Storage Time of Ice Storage Systems [C];Jie

2. Research on Air Conditioning Load Combination Prediction Based on AHP [J];Ye;Journal of Harbin Institute of Technology,2004

3. Building-mix optimization in district cooling system implementation

4. Short term load forecasting based on VMD and PSO optimized deep belief networks [J];Zhi;Grid Technology,2018

5. A RUL prediction method based on DCNN-LSTM hybrid model [J];Hairu;Journal of Weapon Equipment Engineering,2020

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