Regression-based Temperature Forecasting
Regression-Based Temperature Forecasting is a temperature forecasting method that employs regression analysis to model the relationship between meteorological variables and temperature outcomes, distinguishing itself by using statistical or machine learning regression techniques to predict continuous temperature values from historical and environmental data.
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2017–2026
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Rafael Pino‐Mejías, Alexis Pérez-Fargallo, Carlos Rubio-Bellido et al. · Energy · 2016 · 165 citations
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Universidad de Alcalá
Alcalá de Henares, Spain
3 h-index
10 publications
847 citations

Ton Duc Thang University
Ho Chi Minh City, Vietnam
3 h-index
4 publications
342 citations
National Taiwan University of Science and Technology
Taipei, Taiwan
2 h-index
4 publications
528 citations
Universidad de Valladolid
Valladolid, Spain
2 h-index
2 publications
58 citations
University of New Brunswick
Fredericton, Canada
2 h-index
2 publications
67 citations
Zayed University
Abu Dhabi, United Arab Emirates
2 h-index
4 publications
134 citations
Shaanxi Provincial Meteorological Bureau
Xi'an, China
2 h-index
2 publications
39 citations

Henan University of Technology
Zhengzhou, China
2 h-index
6 publications
135 citations
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3 publications · 299 citations
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2 publications · 63 citations
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