Name
Abstract | ||
|---|---|---|
Consumer behavior modification in the residential energy market aims to monitor consumer energy usage and enforce behavior change through energy pricing or showing the impact to the individual consumer's CO2 emissions when using energy at peak hours versus at non-peak hours. This study presents a cloud connected mobile application and cloud based architecture that focuses on improving the homeowner's “know” and “care”, aiming to influence actions through transformation of moral in addition to monetary savings. The system developed accesses consumer energy consumption using smart meters installed on customer premises, predicts future energy consumption using a cloud application and finally provides the “know” and “care” information to the user in a mobile gaming application. The system presents a cloud based solution for effecting customer behavior modification in the electricity market with a mobile interface that encourages consumers to offset their energy usage during peak hours in order to achieve full energy efficiency potential. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.procs.2015.08.412 | Procedia Computer Science |
Keywords | Field | DocType |
Cloud computing,User behavior modification,Internet of things,Residential energy management | Electricity market,Data mining,Consumer behaviour,Energy market,Computer security,Efficient energy use,Computer science,Energy consumption,Offset (computer science),Environmental economics,Cloud computing,Behavior change | Conference |
Volume | ISSN | Citations |
62 | 1877-0509 | 2 |
PageRank | References | Authors |
0.36 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dustin Wright | 1 | 2 | 3.40 |
| Xing Yan | 2 | 2 | 0.70 |
| Pooja Srinivas | 3 | 2 | 0.36 |
| Atieh Kashani | 4 | 2 | 0.36 |
| Yusuf Öztürk | 5 | 25 | 2.64 |