Abstract
Empirical techniques for characterizing electrical energy use now play a key role in reducing electricity consumption, particularly miscellaneous electrical loads, in buildings. Identifying device operating modes (mode extraction) creates a better understanding of both device and system behaviors. Using clustering to extract operating modes from electrical load data can provide valuable insightsinto device behavior and identify opportunities for energy savings. We present a fast and effective heuristic clustering method to identify and extract operating modes in electrical load data.
| Original language | American English |
|---|---|
| Number of pages | 8 |
| State | Published - 2012 |
| Event | 2011 IEEE Green Tech Conference - Baton Rouge, Louisiana Duration: 14 Apr 2011 → 15 Apr 2011 |
Conference
| Conference | 2011 IEEE Green Tech Conference |
|---|---|
| City | Baton Rouge, Louisiana |
| Period | 14/04/11 → 15/04/11 |
NREL Publication Number
- NREL/CP-5500-49636
Keywords
- buildings
- clustering
- miscellaneous electrical loads
- mode extraction
- system characterization
