Abstract | ||
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The energy drivers use to charge their Electric Vehicles (EVs) comes from various sources. Of those, some are renewable green energy sources such as solar photovoltaic systems (SolarPV) and home storage battery whilst some are called brown sources such as gas turbine, coal and oil. To analyse the behaviour of EV drivers as to how they use household green and brown energy, separating the mix is a necessity. This paper argues that the Internet of Things (IoT) can be helpful in achieving that goal and demonstrates a pilot study showing the process of separating the green and brown energy from the EV charging. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1145/2968219.2968346 | UbiComp Adjunct |
Keywords | Field | DocType |
Electric Vehicle, Solar Electricity, EV Charging, Internet of Things, EV Battery, Home Battery | Automotive engineering,Renewable energy,Telecommunications,Gas turbines,Computer science,Electric vehicle,Internet of Things,Coal,Solar electricity,Battery (electricity),Multimedia,Photovoltaic system | Conference |
Citations | PageRank | References |
2 | 0.40 | 4 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Niaz Morshed Chowdhury | 1 | 9 | 5.03 |
Blaine A. Price | 2 | 414 | 42.02 |
Andy Smith | 3 | 183 | 22.42 |
Gerd Kortuem | 4 | 1411 | 163.93 |
Janet van der Linden | 5 | 276 | 25.34 |
John Moore | 6 | 4 | 1.10 |