Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Futoon Alsharif"'
Autor:
Aziza I. Hussein, Basmah Shigdar, Lina Almatrafi, Batool Alaidroos, Futoon Alsharif, Rabab Hamed M. Aly
Publikováno v:
2023 20th Learning and Technology Conference (L&T).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6f893896a8446dfd7481dc7bf6fba79
https://doi.org/10.1109/lt58159.2023.10092291
https://doi.org/10.1109/lt58159.2023.10092291
Autor:
Saeed Mian Qaisar, Futoon Alsharif
Publikováno v:
Journal of Electrical Engineering & Technology. 15:2279-2285
The installation of smart meters is fast growing to effectively support various smart grid stack holders. Collection and processing of fine-grained metering data is important for proper analysis and decision support. The traditional smart meters are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e838b3f07f4bde23273b2fd05dc7ed9
https://doi.org/10.1007/s42835-020-00465-y
https://doi.org/10.1007/s42835-020-00465-y
Autor:
Futoon Alsharif, Saeed Mian Qaisar
Publikováno v:
Procedia Computer Science. 168:210-216
The technological advancements have evolved the deployment of smart meters. A fine-grained metering data collection and analysis is necessary to bring benefits to multiple smart grid stakeholders. The classical sensing mechanism is time-invariant. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cf3f3d8ad243ff48f528d345e37b459
https://doi.org/10.1016/j.procs.2020.02.267
https://doi.org/10.1016/j.procs.2020.02.267
Publikováno v:
Machine Learning for Sustainable Development
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63ca3d5a9b89139d89a479adbace094e
https://doi.org/10.1515/9783110702514-004
https://doi.org/10.1515/9783110702514-004
Autor:
Futoon Alsharif, Saeed Mian Qaisar
Publikováno v:
Application of Machine Learning and Deep Learning Methods to Power System Problems ISBN: 9783030776954
The utilization of smart meters is increasing with the technical developments. A proper collection and analysis of metering data is important to better serve various smart grid stakeholders. The classical sensing mechanism is known to be time-variant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cdee4970608d6171499ef4b92a600f2
https://doi.org/10.1007/978-3-030-77696-1_13
https://doi.org/10.1007/978-3-030-77696-1_13
Autor:
Saeed Mian Qaisar, Futoon Alsharif
Publikováno v:
2020 19th International Conference on Harmonics and Quality of Power (ICHQP).
In modern countries, the concept of using smart meters grows quickly. The smart grid stakeholders need to be provided with a comprehensive metering data collection and analysis. Time invariant is the conventional data sampling method. As a consequenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38d603034ae52b9578e015f924a8615a
https://doi.org/10.1109/ichqp46026.2020.9177898
https://doi.org/10.1109/ichqp46026.2020.9177898
Autor:
Futoon Alsharif, Saeed Mian Qaisar
Publikováno v:
2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA).
The idea of using smart meters is growing rapidly in modern societies. It is important to collect and process fine-grained data of the meters to effectively facilitate all stakeholders of the smart grid. The classical sampling mechanism is time-invar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1f0cc7aa973b6b80c6b09ce23271eb8
https://doi.org/10.1109/icecta48151.2019.8959647
https://doi.org/10.1109/icecta48151.2019.8959647