Erdoğan, Nuh

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/8260
Name Variants
Nuh, Erdoğan
Erdogan, Nuh
N.,Erdoğan
E., Nuh
Erdoğan, Nuh
N., Erdogan
Erdoğan,N.
E.,Nuh
Erdogan,N.
N.,Erdogan
Nuh, Erdogan
Job Title
Doktor Öğretim Üyesi
Email Address
Main Affiliation
Department of Electrical & Electronics Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
3
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

3

Articles

1

Views / Downloads

6/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

3

Scopus Citation Count

5

Patents

0

Projects

0

WoS Citations per Publication

1.00

Scopus Citations per Publication

1.67

Open Access Source

1

Supervised Theses

0

JournalCount
2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings -- 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 -- 7 December 2016 through 9 December 2016 -- Washington -- 1274451
IEEE Global Conference on Signal and Information Processing (GlobalSIP) -- DEC 07-09, 2016 -- Washington, DC1
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Type: Conference Object

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 1
    A Distributed Smart Pev Charging Algorithm Based on Forecasted Mobility Energy Demand
    (Institute of Electrical and Electronics Engineers Inc., 2017) Kisacikoglu,M.C.; Erden,F.; Erdogan,N.
    This study proposes a new distributed control strategy for the grid integration of plug-in electric vehicles. The proposed strategy consists of two stages: (i) an offline process to determine an aggregated reference charge power level based on mobility estimation and base load profile, and (ii) a real-time operation based on the distributed control approach. The control algorithm manages PEV charge load profiles in order to flatten the residential distribution transformer loading while ensuring the desired state of the charge (SOC) level. The proposed algorithm is tested on real distribution transformer loading data, and compared with heuristic charging scenarios. The numerical results are presented to demonstrate the impact of the proposed algorithm. © 2016 IEEE.
  • Thumbnail Image
    Conference Object
    A Distributed Smart Pev Charging Algorithm Based on Forecasted Mobility Energy Demand
    (Ieee, 2016) Kisacikoglu, Mithat C.; Erden, Faith; Erdogan, Nuh
    This study proposes a new distributed control strategy for the grid integration of plug-in electric vehicles. The proposed strategy consists of two stages: (i) an offline process to determine an aggregated reference charge power level based on mobility estimation and base load profile, and (ii) a real-time operation based on the distributed control approach. The control algorithm manages PEV charge load profiles in order to flatten the residential distribution transformer loading while ensuring the desired state of the charge (SOC) level. The proposed algorithm is tested on real distribution transformer loading data, and compared with heuristic charging scenarios. The numerical results are presented to demonstrate the impact of the proposed algorithm.