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Local Personalized Differential Privacy in Statistical Databases
, M.Sc. Thesis Sharif University of Technology ; Jalili, Rasool (Supervisor)
Abstract
Usually, developers analyze data in order to enhance the services they provide to users, but this data analysis may compromise the privacy of the users during this process. Alternatively, service providers may choose to share their data with a third party for the purpose of data analysis, but they may have a strong aversion to sharing the personal information of their users with them. In response to these concerns and considerations, some countries have enacted legislation in this area. The method of protecting privacy has been proposed in a variety of ways, however most of them lack a precise mathematical and formal definition. In the end, there is no guarantee that this will ensure that...
Does the short-term boost of renewable energies guarantee their stable long-term growth? Assessment of the dynamics of feed-in tariff policy
, Article Renewable Energy ; Volume 159 , October , 2020 , Pages 1252-1268 ; Hamed Shakouri, G ; Mashayekhi, A. N ; Kazemi, A ; Sharif University of Technology
Elsevier Ltd
2020
Abstract
Feed-in tariff (FiT) is one of the most efficient ways that many governments throughout the world use to stimulate investment in renewable energies (REs) technology. For governments, financial management of the policy could be challenging as it needs a considerable amount of budget to support RE producers during the long remuneration period. In this paper, it has been illuminated that the early growth of REs capacity could be a temporary boost. And the socio-economic structure of the system will backlash the policy if some social mechanisms are not considered. Social tolerance for paying REs tax and potential investors’ trust emanated from budget-related mechanisms -which have rarely been...