Abstract
Smart buildings with net-load metering and control capabilities can provide valuable flexibility to grid operators. This article develops a novel approach for high-frequency, multiclass nonintrusive load monitoring (NILM) that enables effective net-load monitoring capabilities with minimal additional equipment and cost. Relative to existing NILM work, the proposed solution operates at a faster timescale, providing accurate multiclass state predictions for each 60-Hz ac cycle without relying on event-detection techniques. The approach is validated using a test bed with residential appliances and shown to have high accuracy, good generalization properties, and sufficient response time to support building grid-interactive control at fast timescales relevant to the provision of grid frequency support services.
| Original language | American English |
|---|---|
| Number of pages | 5 |
| DOIs | |
| State | Published - 2020 |
| Event | 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) - Washington, D.C. Duration: 17 Feb 2020 → 20 Feb 2020 |
Conference
| Conference | 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) |
|---|---|
| City | Washington, D.C. |
| Period | 17/02/20 → 20/02/20 |
Bibliographical note
See NREL/CP-5D00-74701 for preprintNREL Publication Number
- NREL/CP-5D00-77279
Keywords
- feature extraction
- grid-interactive
- multiclass classification
- nonintrusive load monitoring (NILM)
- smart buildings