Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Khadija Hafeez"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract High frequency reporting of energy consumption data in smart grids can be used to infer sensitive information regarding the consumer’s life style and poses serious security and privacy threats. Differential privacy (DP) based privacy model
Externí odkaz:
https://doaj.org/article/4a3aa62c73a441559c6c45dcf5e6a220
Autor:
Tania Saleem, Muhammad Umar Janjua, Muhammad Hassan, Talha Ahmad, Filza Tariq, Khadija Hafeez, Muhammad Ahsan Salal, Muhammad Danish Bilal
Publikováno v:
Computer Networks. 213:109069
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e517cd7fffeb4f2573c81e617192e23
https://doi.org/10.1016/j.comnet.2022.109069
https://doi.org/10.1016/j.comnet.2022.109069
Publikováno v:
ICC Workshops
Highly accurate profiles of consumers daily energy usage are reported to power grid via smart meters which enables smart grid to effectively regulate power demand and supply. However, consumers energy consumption pattern can reveal personal and sensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::015684befa83af5d6fb2fd0954e9077e
http://arxiv.org/abs/2102.09458
http://arxiv.org/abs/2102.09458
Autor:
Yasra Chandio, Ayesha Ali, Muhammad Hamad Alizai, Tariq M. Jadoon, Samar Abbas, Abu Bakar, Khadija Hafeez
Publikováno v:
ACM Transactions on Sensor Networks. 14:1-26
Emerging countries predominantly rely on room-level air conditioning units (window ACs, space heaters, ceiling fans) for thermal comfort. These distributed units have manual, decentralized control leading to suboptimal energy usage for two reasons: e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::566da5d3f8e7eb57a54a77dccdaf468d
https://doi.org/10.1145/3229063
https://doi.org/10.1145/3229063