Cloud Associated Smart Grid Admin Dashboard
dc.contributor.author | P. Naveen, | |
dc.contributor.author | Wong Kiing Ing, | |
dc.contributor.author | Danquah, Michael | |
dc.contributor.author | Sidhu, Amandeep | |
dc.contributor.author | Abu-Siada, Ahmed | |
dc.date.accessioned | 2018-02-06T10:03:26Z | |
dc.date.available | 2018-02-06T10:03:26Z | |
dc.date.created | 2018-02-06T09:25:37Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Naveen, P. and Kiing Ing, W. and Kobina, M. and Amandeep, S. and Abu-Siada, A. 2017. Cloud Associated Smart Grid Admin Dashboard. Engineering, Technology & Applied Science Research Journal. 8 (1): pp. 2241-4487. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/64823 | |
dc.description.abstract |
Intelligent smart grid system undertakes electricity demand in a sustainable, reliable, economical and environmentally friendly manner. As smart grid involves, it has the liability of meeting the changing consumer needs on the day-to-day basis. Modern energy consumers like to vivaciously regulate their consumption patterns more competently and intelligently than current provided ways. To fulfill the consumers’ needs, smart meters and sensors make the grid infrastructure more efficient and resilient in energy data collection and management even with the ever-changing renewable power generation. Though cloud acts as an outlet for the energy consumers to retrieve energy data from the grid, the information systems available are technically constrained and not user-friendly. Hence, a simple technology enabled utility-consumer interactive information system in the form of a dashboard is presented to cater the electric consumer needs. | |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | |
dc.title | Cloud Associated Smart Grid Admin Dashboard | |
dc.type | Journal Article | |
dcterms.source.volume | 8 | |
dcterms.source.number | 1 | |
dcterms.source.startPage | 2241 | |
dcterms.source.endPage | 4487 | |
dcterms.source.title | Engineering, Technology & Applied Science Research Journal | |
curtin.department | School of Electrical Engineering, Computing and Mathematical Science (EECMS) | |
curtin.accessStatus | Open access |