IEET: Payam Teimourzadeh Baboli

IEET > Staff > Senior Scientist > Dr.-Ing. Payam Teimourzadeh Baboli

Dr.-Ing. Payam Teimourzadeh Baboli

Senior Scientist

Contact

Dr.-Ing. Payam Teimourzadeh Baboli

E-6 Elektrische Energietechnik

Elektrische Energietechnik

Harburger Schloßstraße 22a,

21079 Hamburg

Building Harburger Schloßstraße 22a, Room 2.001

Phone: +49 40 42878 3013

E-mail: payam.baboli@tuhh.de

Personal Homepage

CV

Work experience

Since Jan. 2024	Senior Scientist and Lecturer, Hamburg University of Technology (TUHH), Germany
Aug. 2019 – Dec.2023	Post-Doc, Senior Researcher and Project Manager, OFFIS – Institute for Information Technology, Oldenburg, Germany
Feb. 2015 – Jul. 2019	Assistant Professor in Electrical Engineering, University of Mazandaran (UMZ), Babolsar, Iran
Mar. 2007 – Jan. 2015	Iranian Power System Engineering Research Center (IPSERC), Tehran, Iran Senior Researcher and Project Manager (Apr. 2014 – Jan. 2015, Full-time) Researcher and Lab. Engineer (Mar. 2007 – Apr. 2014, Part-time)

Research Projects

KoLa

Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

KoLa

Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2026

to the project page

DISEGO

Critical Components for Distributed and Secure Grid Operation

DISEGO

Critical Components for Distributed and Secure Grid Operation

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2025

to the project page

EffiziEntEE

Efficient integration of high shares of renewable energies in technically and economically integrated energy systems

EffiziEntEE

Efficient integration of high shares of renewable energies in technically and economically integrated energy systems

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2025

to the project page

iNeP

Integrated network planning for the electricity, gas and heat sectors

iNeP

Integrated network planning for the electricity, gas and heat sectors

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2026

to the project page

VeN²uS

Networked grid protection systems - Adaptive and interconnected

VeN²uS

Networked grid protection systems - Adaptive and interconnected

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2024

to the project page

DisrupSys

Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply

DisrupSys

Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2024

to the project page

Publications

TUHH Open Research (TORE)

2023

Resilience of smart integrated energy systems
Babazadeh, Davood; Teimourzadeh Baboli, Payam; Mayer, Christoph; Brand, Michael; Becker, Christian; Lehnhoff, Sebastian
In: Fathi, M., Zio, E., Pardalos, P.M. (eds): Handbook of Smart Energy Systems. Springer, Cham, 1887-1913 (2023)
Reliability-sensitive optimization for provision of ancillary services by tempo-spatial correlated distributed energy resources
Teimourzadeh Baboli, Payam; Raeiszadeh, Amin; Brand, Michael; Lehnhoff, Sebastian
17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022)
Publisher DOI

2022

Resilience-oriented operation of power systems: Hierarchical partitioning-based approach
Zare Oskouei, Morteza; Mehrjerdi, Hasan; Babazadeh, Davood; Teimourzadeh Baboli, Payam; Becker, Christian; Palensky, Peter
Applied Energy 312: 118721 (2022-04-15)
Publisher DOI

2021

Model identification and parameter tuning of dynamic loads in power distribution grid: Digital twin approach
Huxoll, Nils; Aldebs, Mohannad; Teimourzadeh Baboli, Payam; Lehnhoff, Sebastian; Babazadeh, Davood
International Conference on Smart Energy Systems and Technologies (SEST 2021)
Publisher DOI
Power Systems Digital Twin under Measurement and Model Uncertainties: Network Parameter Tuning Approach
Wibbeke, Jelke; Aldebs, Mohannad; Babazadeh, Davood; Teimourzadeh Baboli, Payam; Lehnhoff, Sebastian
IEEE Madrid PowerTech (PowerTech 2021)
Publisher DOI
Wind Turbine Failure Prediction Model using SCADA-based Condition Monitoring System
Alzawaideh, Bara; Teimourzadeh Baboli, Payam; Babazadeh, Davood; Horodyvskyy, Susanne; Koprek, Isabel; Lehnhoff, Sebastian
IEEE Madrid PowerTech (PowerTech 2021)
Publisher DOI
Robust stochastic optimization for energy sharing between multi-carrier microgrids using transactive energy management system
Oskouei, Morteza Zare; Mohammadi-Ivatloo, Behnam; Teimourzadeh Baboli, Payam; Babazadeh, Davood
Von Komponenten bis zum Gesamtsystem fur die Energiewende (ETG-Kongress 2021)
Optimal temperature-based condition monitoring system for wind turbines
Teimourzadeh Baboli, Payam; Babazadeh, Davood; Raeiszadeh, Amin; Horodyvskyy, Susanne; Koprek, Isabel
Infrastructures 6 (4): 50 (2021-03-26)
Open Access | Publisher DOI

2020

Two-Stage Condition-based Maintenance Model of Wind Turbine: From Diagnosis to Prognosis
Baboli, Payam Teimourzadeh; Raeiszadeh, Amin; Babazadeh, Davood; Meiners, Jens
IEEE International Smart Cities Conference (ISC2 2020)
Publisher DOI
Experiences with System-Level Validation Approach
Baboli, Payam Teimourzadeh; Babazadeh, Davood; Siagkas, D.; Manikas, S.; Anastasakis, K.; Merino, Julia
In: Strasser T., de Jong E., Sosnina M. (eds) European Guide to Power System Testing. Springer, Cham. (2020)
Publisher DOI
Measurement-based Modeling of Smart Grid Dynamics: A Digital Twin Approach
Baboli, Payam Teimourzadeh; Babazadeh, Davood; Bowatte, Kumara
Smart Grid Conference (SGC2020)
Publisher DOI
Test Procedure and Description for System Testing
Heussen, Kai; Babazadeh, Davood; Degefa, Merkebu Z.; Taxt, H.; Merino, Julia; Nguyen, V. H.; Baboli, Payam Teimourzadeh; Moghim Khavari, A.; Rikos, E.; Pellegrino, L.; Tran, Q. T.; Jensen, Tue V.; Kotsampopoulos, P.; Strasser, Thomas I.
In: Strasser T., de Jong E., Sosnina M. (eds) European Guide to Power System Testing. Springer, Cham. (2020)
Publisher DOI

Courses

Stud.IP

link to course in Stud.IP

Machine Learning in Electrical Engineering and Information Technology

Semester:

SoSe 24

Course type:

Lecture

Course number:

lv3004_s24

Lecturer:

Prof. Dr. sc. techn. Christian Schuster, Prof. Dr.-Ing. Christian Becker, Prof. Dr. Alexander Kölpin, Gerhard Bauch, Dr. Maximilian Stark, Dr. Davood Babazadeh, Dr. Cheng Yang, PD Dr.-Ing. habil. Rainer Grünheid, Simon Stock, M.Sc.

Description:

This master course, a collaborative effort between the Institute of Communications, the Institute for High-Frequency Engineering, the Institute for Power Systems, and the Institute for Theoretical Electrical Engineering, is designed to unveil the synergies between machine learning and our respective fields of expertise. In an age defined by rapid technological advancement, machine learning stands as a catalyst for innovation, offering transformative possibilities across diverse sectors. From optimizing communication systems to enhancing power grid efficiency, and from refining signal processing techniques to enabling autonomous systems, the integration of machine learning techniques holds immense promise for addressing contemporary challenges. Throughout this course, we will delve into the theoretical underpinnings, practical methodologies, and tangible applications of neural networks and machine learning algorithms. By delving into algorithmic design, data analysis, and optimization techniques, we aim to equip you with the skills and insights needed to navigate the complexities of modern engineering landscapes.

Performance accreditation:

m1785-2022 - Machine Learning in Electrical Engineering and Information Technology<ul><li>p1778-2022 - Machine Learning in Electrical Engineering and Information Technology: mündlich</li></ul>

ECTS credit points:

6

Stud.IP informationen about this course:

Home institute: Institut für Nachrichtentechnik (E-8)
Registered participants in Stud.IP: 100
Postings: 4
Documents: 23

Dr.-Ing. Payam Teimourzadeh Baboli

Contact

Dr.-Ing. Payam Teimourzadeh Baboli

CV

Research Projects

KoLa

KoLa

Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

DISEGO

DISEGO

Critical Components for Distributed and Secure Grid Operation

EffiziEntEE

EffiziEntEE

Efficient integration of high shares of renewable energies in technically and economically integrated energy systems

iNeP

iNeP

Integrated network planning for the electricity, gas and heat sectors

VeN²uS

VeN²uS

Networked grid protection systems - Adaptive and interconnected

DisrupSys

DisrupSys

Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply

Publications

TUHH Open Research (TORE)

2023

2022

2021

2020

Courses

Stud.IP

TU Hamburg

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