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Yuwei Wu - IEEE Xplore Author Profile

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Author details

Yuwei Wu

Publications

7

Citations

59

Publications by Year

20212025

Co-Authors:

Pratik ChaudhariFernando CladeraZiming DingFei GaoZhichao Han

Show All Co-Authors (22)

Yuwei Wu

Affiliation

GRASP Laboratory

University of Pennsylvania

Philadelphia, PA, USA

Publication Topics

Trajectory Optimization,
Path Planning,
Inequality Constraints,
Optimization Problem,
Piecewise Polynomial,
Point Cloud,
Polytope,
Real-world Experiments,
Trajectory Generation,
Trajectory Planning,
Computation Time,
Control Efforts

Biography

Yuwei Wu (Graduate Student Member, IEEE) received the B.Eng. degree in transportation engineering from Beijing Jiaotong University, China, in 2019, and the M.S.E. degree in systems engineering from the University of Pennsylvania, in 2022, where she is currently pursuing the Ph.D. degree in electrical and systems engineering with the GRASP Laboratory.,Her research interests include motion planning for autonomous vehicle systems.(Based on document published on 13 October 2023).

Publications

7

Citations

59

Publications by Year

20212025

Co-Authors:

Pratik Chaudhari
Fernando Cladera
Ziming Ding
Fei Gao
Zhichao Han

Show All Co-Authors (22)

Author's Published Works

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Showing 1-8 of 8 results

Conferences (4)

Journals (4)

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Ahmet Emin Kuzucuoğlu(8)
Alper Nabi Akpolat(6)
Erkan Dursun(6)
Yongheng Yang(4)
Frede Blaabjerg(4)
Department of Electrical Engineering, Center of Electric Power and Energy, Technical University of Denmark, Kongens Lyngby, Denmark(2)
Department of Energy Technology, Aalborg University, Aalborg, Denmark(2)
Department of Electrical-Electronics Engineering, Faculty of Technology, Marmara University, Istanbul, Turkey(2)
College of Electrical Engineering, Zhejiang University, Hangzhou, Zhejiang, China(1)
Tekn. Fak. Elektrik ve Elektronik Mühendisligi Bölümü, Marmara Üniversitesi, Istanbul, Turkey(1)
IEEE Access(2)
IEEE Transactions on Energy Conversion(2)
2013 21st Signal Processing and Communications Applications Conference (SIU)(1)
2016 24th Signal Processing and Communication Application Conference (SIU)(1)
2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)(1)
IEEE(8)
Istanbul, Turkey(2)
Haspolat, Turkey(1)
Zonguldak, Turkey(1)
Maximum Power Point Tracking(5)
Photovoltaic System(5)
Artificial Neural Network(4)
Dc Microgrid(4)
Hidden Layer(4)

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Dynamic Stabilization of DC Microgrids Using ANN-Based Model Predictive Control

Alper Nabi Akpolat;Mohammad Reza Habibi;Hamid Reza Baghaee;Erkan Dursun;Ahmet Emin Kuzucuoğlu;Yongheng Yang;Tomislav Dragičević;Frede Blaabjerg

IEEE Transactions on Energy Conversion

Year: 2022 | Volume: 37, Issue: 2 | Journal Article |

Cited by: Papers (28)

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Over the past decade, the high penetration of renewable-based distributed generation (DG) units has witnessed a considerable rise in electrical networks. In this context, direct current (DC) microgrids based on DGs are being preferred due to having less complexity for the establishment and control. At the same time, they offer higher efficiency and reliability compared to their alternating current...Show More

Dynamic Stabilization of DC Microgrids Using ANN-Based Model Predictive Control

Alper Nabi Akpolat;Mohammad Reza Habibi;Hamid Reza Baghaee;Erkan Dursun;Ahmet Emin Kuzucuoğlu;Yongheng Yang;Tomislav Dragičević;Frede Blaabjerg

IEEE Transactions on Energy Conversion

Year: 2022 | Volume: 37, Issue: 2 | Journal Article |

Deep Learning-Aided Sensorless Control Approach for PV Converters in DC Nanogrids

Alper Nabi Akpolat;Erkan Dursun;Ahmet Emin Kuzucuoğlu

Year: 2021 | Volume: 9 | Journal Article |

Cited by: Papers (7)

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In a microgrid, photovoltaic (PV) systems are broadly preferred with energy storage systems (ESSs) that form small-sized direct current (DC) microgrids. They are also termed local grids i.e., DC nanogrids, which feed the local consumers to some extent in the next decades. Therefore, ESSs enable the DC nanogrids more flexible and stable by preserving the intermittent nature of renewables. Yet still...Show More

Deep Learning-Aided Sensorless Control Approach for PV Converters in DC Nanogrids

Alper Nabi Akpolat;Erkan Dursun;Ahmet Emin Kuzucuoğlu

Year: 2021 | Volume: 9 | Journal Article |

Design Implementation and Operation of an Education Laboratory-Scale Microgrid

Alper Nabi Akpolat;Yongheng Yang;Frede Blaabjerg;Erkan Dursun;Ahmet Emin Kuzucuoğlu

Year: 2021 | Volume: 9 | Journal Article |

Cited by: Papers (17)

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To enable more wide-scale exploitation of renewable energy sources (RESs), distributed generations (DGs) as in microgrids have gained prominence recently. This study describes the design, modeling, implementation, and operation of a microgrid, in which a standalone hybrid power system has been installed for an education and research laboratory. The unstable nature of RESs results in power compatib...Show More

Design Implementation and Operation of an Education Laboratory-Scale Microgrid

Alper Nabi Akpolat;Yongheng Yang;Frede Blaabjerg;Erkan Dursun;Ahmet Emin Kuzucuoğlu

Year: 2021 | Volume: 9 | Journal Article |

Sensorless Control of DC Microgrid Based on Artificial Intelligence

Alper Nabi Akpolat;Mohammad Reza Habibi;Erkan Dursun;Ahmet Emin Kuzucuoğlu;Yongheng Yang;Tomislav Dragičević;Frede Blaabjerg

IEEE Transactions on Energy Conversion

Year: 2021 | Volume: 36, Issue: 3 | Journal Article |

Cited by: Papers (23)

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Nowadays, DC microgrids are preferred in the field of renewable energy. The autonomous DC microgrids aim to provide smooth power flow from renewables to loads. While satisfying certain load profiles and sustaining the power as the desired level, the control of power converters is considerable. To ascend the resilience of DC microgrids, battery storage systems (BSSs) are also used as a backup unit ...Show More

Sensorless Control of DC Microgrid Based on Artificial Intelligence

Alper Nabi Akpolat;Mohammad Reza Habibi;Erkan Dursun;Ahmet Emin Kuzucuoğlu;Yongheng Yang;Tomislav Dragičević;Frede Blaabjerg

IEEE Transactions on Energy Conversion

Year: 2021 | Volume: 36, Issue: 3 | Journal Article |

AI-Aided Control of a Power Converter in Wind Energy Conversion System

Alper Nabi Akpolat;Erkan Dursun;Ahmet Emin Kuzucuoğlu

2020 Innovations in Intelligent Systems and Applications Conference (ASYU)

Year: 2020 | Conference Paper |

Cited by: Papers (10)

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Over the last decades, to adopt high penetration of renewable energy sources (RESs) in electrical energy systems, distributed energy resources (DERs) have become prominent. Due to easy attainability status of small wind turbines (WTs), wind energy conversion systems (WECSs) are feasible applications for small customers, especially in windy areas. The next decade is likely to witness a considerable...Show More

AI-Aided Control of a Power Converter in Wind Energy Conversion System

Alper Nabi Akpolat;Erkan Dursun;Ahmet Emin Kuzucuoğlu

2020 Innovations in Intelligent Systems and Applications Conference (ASYU)

Year: 2020 | Conference Paper |

Modeling Photovoltaic String in PLECS Under Partial Shading

Alper Nabi Akpolat;Yongheng Yang;Frede Blaabjerg;Erkan Dursun;Ahmet Emin Kuzucuoğlu

2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)

Year: 2019 | Conference Paper |

Cited by: Papers (7)

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The industry of solar energy and its application areas have developed and received much attention over the last two decades. Therefore, the types of photovoltaic (PV) system simulations are investigated and mostly discussed models close to the physical behaviour of a PV panel or system. Under the real conditions such as cloud coverage, the shadows of nearby objects, dusty air, and dirty surface ar...Show More

Modeling Photovoltaic String in PLECS Under Partial Shading

Alper Nabi Akpolat;Yongheng Yang;Frede Blaabjerg;Erkan Dursun;Ahmet Emin Kuzucuoğlu

2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)

Year: 2019 | Conference Paper |

Identification of Tumor area from Brain MR Image

Ömer Kasım;Ahmet Emin Kuzucuoğlu

2016 24th Signal Processing and Communication Application Conference (SIU)

Year: 2016 | Conference Paper |

Cited by: Papers (1)

The analysis of Magnetic Resonance Image has an important role in definite detection of Brain Tumor. The shape, location and size of tumor are examined by Radiology specialist to diagnose and plan treatment. In the intense work pace, it's not possible to get results quickly. At this scheme, unnoticed information can be recovered by an image processing algorithm. In this study, at database images w...Show More

Identification of Tumor area from Brain MR Image

Ömer Kasım;Ahmet Emin Kuzucuoğlu

2016 24th Signal Processing and Communication Application Conference (SIU)

Year: 2016 | Conference Paper |

Identification of diseased leukocytes cells from blood smear

Ömer Kasım;Ahmet Emin Kuzucuoğlu

2013 21st Signal Processing and Communications Applications Conference (SIU)

Year: 2013 | Conference Paper |

Cited by: Papers (1)

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The blood smear analysis has an important role in definite diagnosis of leukemia disease. The WBC's shapes and numbers in a smear area are examined by Hematology experts to diagnose leukemia. The smear stain process and microscope luminance are blinked because of the intense working tempo. At this scheme, unnoticed information about cells can be recovered by an image processing. In this study, at ...Show More

Identification of diseased leukocytes cells from blood smear

Ömer Kasım;Ahmet Emin Kuzucuoğlu

2013 21st Signal Processing and Communications Applications Conference (SIU)

Year: 2013 | Conference Paper |

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