Developing machine learning models for relative humidity prediction in air-based energy systems and environmental management applications-Reference-Cited by-同舟云学术

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Developing machine learning models for relative humidity prediction in air-based energy systems and environmental management applications

Published:2021-08 Issue: Volume:292 Page:112736
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Qadeer Kinza,Ahmad Ashfaq^ORCID,Qyyum Muhammad Abdul^ORCID,Nizami Abdul-Sattar,Lee Moonyong

Funder

Kementerian Pendidikan Malaysia

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference38 articles.

1. Empirical characterization of random forest variable importance measures;Archer;Comput. Stat. Data Anal.,2008

2. Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests;Assouline;Appl. Energy,2018

3. Performance assessment of a V-trough photovoltaic system and prediction of power output with different machine learning algorithms;Ağbulut;J. Clean. Prod.,2020

4. Simple predictive tool to estimate relative humidity using wet bulb depression and dry bulb temperature;Bahadori;Appl. Therm. Eng.,2013

5. Completion of wind turbine data sets for wind integration studies applying random forests and k-nearest neighbors;Becker;Appl. Energy,2017

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3. Analysis Model of Learning Chinese as a Foreign Language Based on Random Forest Algorithm;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

4. Natural gas spot price prediction research under the background of Russia-Ukraine conflict - based on FS-GA-SVR hybrid model;Journal of Environmental Management;2023-10

5. Comparative Analysis of Machine Learning Models for Relative Humidity Prediction in the Philippines;2023 1st IEEE International Conference on Smart Technology (ICE-SMARTec);2023-07-17

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