Batch Data Reconciliation
Batch Data Reconciliation is a systematic computational method used in batch process systems to refine measured process data by minimizing measurement errors and enforcing material and energy balance constraints specific to discrete production batches.
11
Publications
268
Citations
33
Authors
16
Institutions
Publications per year
2017–2026
3
Parents
11
1–5 of 11
33
1
h-index
1
h-index
Universidade Federal da Bahia, Brazil
1 publications · 20 citations
1
h-index
1
h-index
1
h-index
1–5 of 33
16
Simulation Technologies (United States)
Huntsville, United States
1 h-index
1 publications
13 citations
Universidade de São Paulo
São Paulo, Brazil
1 h-index
1 publications
29 citations

Technische Universität Ilmenau
Ilmenau, Germany
1 h-index
1 publications
23 citations
The University of Texas at Austin
Austin, United States
1 h-index
2 publications
92 citations

Military Institute of Engineering
Rio de Janeiro, Brazil
1 h-index
1 publications
29 citations
China National Chemical Information Centre (China)
Beijing, China
1 h-index
3 publications
51 citations

Université Laval
Québec, Canada
1 h-index
3 publications
69 citations
Chung Yuan Christian University
Taoyuan City, Taiwan
1 h-index
3 publications
60 citations
1–8 of 16
4 publications · 81 citations
4
h-index
2 publications · 55 citations
2
h-index
1 publications · 20 citations
1
h-index
1 publications · 23 citations
1
h-index
1 publications · 23 citations
1
h-index
1–5