Name
Title | ||
|---|---|---|
Complex building's energy system operation patterns analysis using bag of words representation with hierarchical clustering. |
Abstract | ||
|---|---|---|
Due to the large quantity of data that are recorded in energy efficient buildings, understanding the behavior of various underlying operations has become a complex and challenging task. This paper proposes a method to support analysis of energy systems and validates it using operational data from a cold water chiller. The method automatically detects various operation patterns in the energy system. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s40294-016-0020-0 | CASM |
Keywords | DocType | Volume |
Building energy performance, Fault detection and diagnosis (FDD), Clustering, Symbolic aggregate approximation (SAX), Bag of words representation (BoWR), Hierarchical clustering, Coefficient of performance (CoP), Dynamic time warping (DTW), Heating ventilation and air conditioning (HVAC), Gap statistics analysis | Journal | 4 |
Issue | ISSN | Citations |
1 | 2194-3206 | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| usman habib | 1 | 4 | 2.86 |
| Khizar Hayat | 2 | 248 | 19.71 |
| Gerhard Zucker | 3 | 75 | 12.27 |