Name
Abstract | ||
|---|---|---|
This work is focused on the data based modelling and monitoring of a family of modular systems that have multiple replicated structures with the same nominal variables and show temporal behaviour with certain periodicity. These characteristics are present in many systems in numerous fields such as the construction or energy sector or in industry. The challenge for these systems is to be able to exploit the redundancy in both time and the physical structure. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.engappai.2018.02.013 | Engineering Applications of Artificial Intelligence |
Keywords | Field | DocType |
Principal component analysis,Unfold-PCA,MPCA,Building energy monitoring,Data mining,Statistical process monitoring | Data mining,Efficient energy use,Matrix (mathematics),Computer science,Exploit,Redundancy (engineering),Artificial intelligence,Statistical model,Modular design,Energy consumption,Machine learning,Principal component analysis | Journal |
Volume | ISSN | Citations |
71 | 0952-1976 | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Llorenç Burgas | 1 | 0 | 0.68 |
| Joaquim Melendez | 2 | 7 | 2.97 |
| Joan Colomer | 3 | 13 | 5.21 |
| Joaquim Massana | 4 | 10 | 2.22 |
| Carles Pous | 5 | 49 | 8.09 |