Çiçek, Cihan Tuğrul

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/7854
Name Variants
C.T.Çiçek
Çiçek,C.T.
C.,Cihan Tugrul
Cihan Tugrul, Cicek
C.,Çiçek
C., Cicek
Cicek, Cihan Tugrul
Cihan Tuğrul, Çiçek
C.T.Cicek
C., Cihan Tugrul
Çiçek, Cihan Tuğrul
Ç.,Cihan Tuğrul
Cicek,C.T.
Job Title
Doktor Öğretim Üyesi
Email Address
cihan.cicek@atilim.edu.tr
Main Affiliation
Industrial Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

SDG data is not available
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

5

Articles

4

Views / Downloads

2/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

50

Scopus Citation Count

64

Patents

0

Projects

0

WoS Citations per Publication

10.00

Scopus Citations per Publication

12.80

Open Access Source

4

Supervised Theses

0

JournalCount
IEEE Access1
IEEE International Conference on Communications (ICC) -- JUN 14-23, 2021 -- ELECTR NETWORK1
INFORMS Journal on Computing1
Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi1
Sustainable Energy, Grids and Networks1
Current Page: 1 / 1

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Filters

20221
Reset filters

Settings

Author: Ilic, Marija

Scholarly Output Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Article
    Citation - WoS: 5
    Citation - Scopus: 4
    Privacy Protection Via Joint Real and Reactive Load Shaping in Smart Grids
    (Elsevier, 2022) Kement, Cihan Emre; Ilic, Marija; Gultekin, Hakan; Cicek, Cihan Tugrul; Tavli, Bulent
    Frequent metering of electricity consumption is crucial for demand-side management in smart grids. However, metered data can be processed fairly easily by employing well-established nonintrusive appliance load monitoring techniques to infer appliance usage, which reveals information about consumers' private lives. Existing load shaping techniques for privacy primarily focus only on altering metered real power, whereas smart meters collect reactive power consumption data as well for various purposes. This study addresses consumer privacy preservation via load shaping in a demand response scheme, considering both real and reactive power. We build a multi-objective optimization framework that enables us to characterize the interplay between privacy maximization, user cost minimization, and user discomfort minimization objectives. Our results reveal that minimizing information leakage due to a single component, e.g., real power, would suffer from overlooking information leakage due to the other component, e.g., reactive power, causing sub-optimal decisions. In fact, joint shaping of real and reactive power components results in the best possible privacy preservation performance, which leads to more than a twofold increase in privacy in terms of mutual information. (c) 2022 Elsevier Ltd. All rights reserved.