Prediction of Heating Load and Cooling Load of Buildings Using Neural Network-Reference-Cited by-同舟云学术

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Prediction of Heating Load and Cooling Load of Buildings Using Neural Network

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 International Ural Conference on Electrical Power Engineering (UralCon)
language:
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Author:

Mokeev Vladimir V.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8864962/8877608/08877655.pdf?arnumber=8877655

Cited by 11 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 efficiency in cooling systems: integrating machine learning and meta-heuristic algorithms for precise cooling load prediction;Chemical Product and Process Modeling;2024-07-01

2. Forecasting of energy efficiency in buildings using multilayer perceptron regressor with waterwheel plant algorithm hyperparameter;Frontiers in Energy Research;2024-05-10

3. Analyzing the Relationship between Intraday Load Power and Abrupt Changed Temperature;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15

4. Comparison and Evaluation of Multiple Neural Network Models in Wind Power Generation Forecasting;2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES);2022-12-09

5. Supervised Machine Learning Models to Assess Impact of Building Parameters on Energy Efficiency;2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT);2022-10-07

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