Name
Abstract | ||
|---|---|---|
In this paper, we address the problem of predicting the usage of home appliances where a key challenge is to model the everyday routine of homeowners and the inter-dependency between the use of different appliances. To this end, we propose an agent based prediction algorithm that captures the everyday habits by exploiting their periodic features. We demonstrate that our approach outperforms existing methods by up to 40% in experiments based on real-world data from a prominent database of home energy usage. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2487166.2487210 | e-Energy |
Keywords | Field | DocType |
real-world data,home energy management,towards appliance usage prediction,home appliance,everyday habit,key challenge,home energy usage,everyday routine,different appliance,prediction algorithm,prominent database,periodic feature,energy management | Energy management,World Wide Web,Engineering,Database | Conference |
Citations | PageRank | References |
2 | 0.37 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ngoc Cuong Truong | 1 | 24 | 1.83 |
| Long Tran-Thanh | 2 | 309 | 37.69 |
| Enrico Costanza | 3 | 411 | 31.73 |
| sarvapali d ramchurn | 4 | 2239 | 161.28 |