Name
Title | ||
|---|---|---|
Energy Disaggregation for Small and Medium Businesses and their Operational Characteristics |
Abstract | ||
|---|---|---|
ABSTRACTSmall and Medium Businesses (SMBs) make up a large chunk of the total energy demand, whereas non-intrusive load disaggregation has been dominated by applications in the residential domain. Existing on-site sensor-based approaches for energy disaggregation of SMBs are not scalable and limit energy efficiency analysis, usage behavior study, and kind-of-site classification, which are essential for energy management and grid operations. In this paper, we propose a highly scalable, non-intrusive load disaggregation model for SMBs, which is independent of on-site sensor data. The energy disaggregation task presented here uses energy data, demographic information, and weather data of SMB's location. The method employs Gaussian Mixture Models, regression models, and DBSCAN to capture appliances' key characteristics. This process can handle usage anomalies, seasonality, and give reliable estimates at the granularity of energy-data sampling rate. Additionally, SMB's working schedule and operational load are estimated using a combination of K-Means and statistical models. Operational load signatures and working schedule and appliance characteristics can further be used for energy management, efficiency analysis, and site classification. The model has been evaluated using anonymized energy data of different types of commercial spaces such as office sites, restaurants, individual shops, and shopping complexes from the USA (North Carolina, South Carolina, Indiana, and Florida) with total monthly consumption ranging from 800 kWh to 120,000 kWh. Results indicate reliable disaggregation of load into the heating, cooling, and baseload categories along with an estimate of operational hours and operational load at the energy-data sampling rate. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3427771.3427854 | Embedded Network Sensor Systems |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abhinav Srivastava | 1 | 0 | 0.34 |
| Paras Tehria | 2 | 0 | 0.34 |
| Basant K. Pandey | 3 | 0 | 0.34 |