Similarity-based Forecasting
Similarity-Based Forecasting is a demand forecasting method that leverages historical data from analogous products or markets to predict new product demand by identifying and exploiting patterns of similarity in their performance trajectories.
49
Publications
2K
Citations
152
Authors
83
Institutions
Publications per year
2017–2026
29
Variants
Similarity-based Demand Forecasting
49
1–5 of 49
152
4
h-index
3
h-index
National Taiwan University of Science and Technology, Taiwan
3 publications · 358 citations
3
h-index
3
h-index
2
h-index
1–5 of 152
83

Universidad Pablo de Olavide
Seville, Spain
4 h-index
11 publications
1.2K citations
National Taiwan University of Science and Technology
Taipei, Taiwan
3 h-index
6 publications
716 citations
University of Maryland, College Park
College Park, United States
3 h-index
8 publications
389 citations
Southwest University
Chongqing, China
3 h-index
4 publications
154 citations

Chienkuo Technology University
Changhua, Taiwan
2 h-index
2 publications
230 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
61 citations

Hunan University
Changsha, China
2 h-index
7 publications
107 citations

Chongqing University
Chongqing, China
2 h-index
3 publications
59 citations
1–8 of 83
5 publications · 164 citations
5
h-index
3 publications · 397 citations
3
h-index
3 publications · 51 citations
3
h-index
2 publications · 87 citations
2
h-index
EEJET · 2 publications · 62 citations
2
h-index
1–5