Feature Engineering For Forecasting
Feature Engineering for Forecasting is a methodological process in predictive analytics that involves the systematic creation, transformation, and selection of input variables from raw data to enhance the accuracy and efficiency of forecasting models within domains such as Cloud Forecasting and Short-Term Revenue Forecasting.
130
Publications
7.2K
Citations
441
Authors
219
Institutions
Publications per year
2017–2026
99
130
1–5 of 130
441
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219

University of Engineering and Technology Lahore
Lahore, Pakistan
4 h-index
7 publications
317 citations
COMSATS University Islamabad
Islamabad, Pakistan
4 h-index
6 publications
182 citations
Texas A&M University
College Station, United States
3 h-index
5 publications
142 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
1.5K citations

American University in the Emirates
Dubai, United Arab Emirates
2 h-index
3 publications
63 citations

The University of Queensland
Brisbane, Australia
2 h-index
4 publications
56 citations

Semnan University
Semnan, Iran
2 h-index
4 publications
650 citations

Universidad de Alcalá
Alcalá de Henares, Spain
2 h-index
2 publications
106 citations
1–8 of 219
9 publications · 895 citations
9
h-index
6 publications · 258 citations
6
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4 publications · 183 citations
4
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4 publications · 237 citations
4
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3 publications · 81 citations
3
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1–5