Erdoğan, Nuh

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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
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ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
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WoS Researcher ID

Sustainable Development Goals

2

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11

SUSTAINABLE CITIES AND COMMUNITIES
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14

LIFE BELOW WATER
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6

CLEAN WATER AND SANITATION
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1

NO POVERTY
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5

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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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17

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15

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10

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7

AFFORDABLE AND CLEAN ENERGY
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3

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8

DECENT WORK AND ECONOMIC GROWTH
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4

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12

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Scholarly Output

3

Articles

1

Views / Downloads

5/0

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0

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0

WoS Citation Count

3

Scopus Citation Count

5

WoS h-index

1

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1

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0

WoS Citations per Publication

1.00

Scopus Citations per Publication

1.67

Open Access Source

1

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0

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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
    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.
  • 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.