Predicting Energy Consumption in Wastewater Treatment Plants through Light Gradient Boosting Machine: A Comparative Study-Reference-Cited by-同舟云学术

Predicting Energy Consumption in Wastewater Treatment Plants through Light Gradient Boosting Machine: A Comparative Study

Published:2022-11-23 Issue: Volume: Page:
ISSN:
Container-title:2022 10th International Conference on Systems and Control (ICSC)
language:
Short-container-title:

Author:

Alali Yasminah¹,Harrou Fouzi¹,Sun Ying¹

Affiliation:

1. King Abdullah University of Science and Technology (KAUST) Computer,Electrical and Mathematical Sciences and Engineering (CEMSE) Division,Thuwal,Saudi Arabia,23955-6900

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9993810/9993811/09993872.pdf?arnumber=9993872

Reference25 articles.

1. Energy Self-sufficient Wastewater Treatment Plants: Feasibilities and Challenges

2. Energy for Conventional Water Supply and Wastewater Treatment in Urban China: A Review

3. Nitrogen and Phosphorous Removal in Municipal Wastewater Treatment Plants in China: A Review

4. Evaluation of the energy efficiency of a large wastewater treatment plant in Italy

5. Ways to optimize the energy balance of municipal wastewater systems: lessons learned from Austrian applications

Cited by 3 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. Explainable machine learning methods for predicting water treatment plant features under varying weather conditions;Results in Engineering;2024-03

2. Energy consumption prediction in water treatment plants using deep learning with data augmentation;Results in Engineering;2023-12

3. Unlocking the Potential of Wastewater Treatment: Machine Learning Based Energy Consumption Prediction;Water;2023-06-25