Machine Learning For Temperature Forecasting
Machine Learning for Temperature Forecasting is a computational methodology that employs data-driven algorithms to model and predict temperature variations over time and space by learning patterns from historical meteorological data.
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21.8K
Citations
1.6K
Authors
701
Institutions
Publications per year
2017–2026
344
Parents
465
Applied machine learning: Forecasting heat load in district heating system
Samuel O. Idowu, Saguna Saguna, Christer Åhlund et al. · Energy and Buildings · 2016 · 238 citations
Puning Xue, Yi Jiang, Zhigang Zhou et al. · Energy · 2019 · 194 citations
Computing, Data Science, Forecasting +15
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University of Tabriz
Tabriz, Iran
10 h-index
21 publications
1.2K citations

Central South University
Changsha, China
10 h-index
29 publications
1.3K citations

King Fahd University of Petroleum and Minerals
Dhahran, Saudi Arabia
7 h-index
8 publications
358 citations

Northeastern University
Shenyang, China
6 h-index
14 publications
569 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
13 publications
425 citations

Ton Duc Thang University
Ho Chi Minh City, Vietnam
6 h-index
7 publications
532 citations

Xi'an Jiaotong University
Xi'an, China
6 h-index
19 publications
630 citations
Dongyang University
Andong, South Korea
6 h-index
7 publications
207 citations
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12 publications · 929 citations
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13 publications · 449 citations
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6 publications · 145 citations
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7 publications · 363 citations
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8 publications · 523 citations
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