Birgitte Bak-Jensen

Birgitte Bak-Jensen

Aalborg Universitet

H-index: 45

Europe-Denmark

About Birgitte Bak-Jensen

Birgitte Bak-Jensen, With an exceptional h-index of 45 and a recent h-index of 30 (since 2020), a distinguished researcher at Aalborg Universitet, specializes in the field of Electrical Power systems, smart grid, integration of energy systems, Multi energy systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

DC protection coordination for multi‐terminal HB‐MMC‐based HVDC grids

Reducing Annotation Efforts in Electricity Theft Detection through Optimal Sample Selection

DC protection criteria for multi-terminal HVDC system considering transient stability of embedded AC grid

Modular components of integrated local energy systems: A socio-technical compendium of fact sheets on how to ‘do’the local energy transition

Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with Exceptional Accuracy

Stochastic Day-ahead Optimal Scheduling of Active Distribution Networks with Renewable Energy Sources and Electric Vehicles

Unleashing flexibility from electric boilers and heat pumps in Danish residential distribution network

Simple data augmentation tricks for boosting performance on electricity theft detection tasks

Birgitte Bak-Jensen Information

University

Position

Lektor i elektriske forsyningssystemer

Citations(all)

10058

Citations(since 2020)

3562

Cited By

7976

hIndex(all)

45

hIndex(since 2020)

30

i10Index(all)

122

i10Index(since 2020)

76

Email

University Profile Page

Aalborg Universitet

Google Scholar

View Google Scholar Profile

Birgitte Bak-Jensen Skills & Research Interests

Electrical Power systems

smart grid

integration of energy systems

Multi energy systems

Top articles of Birgitte Bak-Jensen

Title

Journal

Author(s)

Publication Date

DC protection coordination for multi‐terminal HB‐MMC‐based HVDC grids

IET Renewable Power Generation

Seyed Hassan Ashrafi Niaki

Zhe Chen

Birgitte Bak‐Jensen

Kamran Sharifabadi

Zhou Liu

...

2024/2

Reducing Annotation Efforts in Electricity Theft Detection through Optimal Sample Selection

IEEE Transactions on Instrumentation and Measurement

Wenlong Liao

Birgitte Bak-Jensen

Jayakrishnan Radhakrishna Pillai

Xiaofang Xia

Guangchun Ruan

...

2024/1/18

DC protection criteria for multi-terminal HVDC system considering transient stability of embedded AC grid

International Journal of Electrical Power & Energy Systems

Seyed Hassan Ashrafi Niaki

Zhe Chen

Birgitte Bak-Jensen

Kamran Sharifabadi

Zhou Liu

...

2024/6/1

Modular components of integrated local energy systems: A socio-technical compendium of fact sheets on how to ‘do’the local energy transition

Birgitte Bak-Jensen

Ewert Aukes

Katherine Brooke Quinteros

Katarzyna Bogucka-Bykuć

2024/3

Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with Exceptional Accuracy

arXiv preprint arXiv:2310.18629

Wenlong Liao

Fernando Porté-Agel

Jiannong Fang

Birgitte Bak-Jensen

Guangchun Ruan

...

2023/10/28

Stochastic Day-ahead Optimal Scheduling of Active Distribution Networks with Renewable Energy Sources and Electric Vehicles

Mostafa Nick

Rachid Cherkaoui

Mario Paolone

2014/7/24

Unleashing flexibility from electric boilers and heat pumps in Danish residential distribution network

Rakesh Sinha

Birgitte Bak-Jensen

Jayakrishnan Radhakrishna Pillai

Bertil Møller-Jensen

2018/8

Simple data augmentation tricks for boosting performance on electricity theft detection tasks

IEEE Transactions on Industry Applications

Wenlong Liao

Zhe Yang

Birgitte Bak-Jensen

Jayakrishnan Radhakrishna Pillai

Leandro Von Krannichfeldt

...

2023/3/27

An Intelligent Method for Fault Location Estimation in HVDC Cable Systems Connected to Offshore Wind Farms

Wind

Seyed Hassan Ashrafi Niaki

Jalal Sahebkar Farkhani

Zhe Chen

Birgitte Bak-Jensen

Shuju Hu

2023/8/31

Flexibility provisions through local energy communities: A review

Next Energy

Pavani Ponnaganti

Rakesh Sinha

Jayakrishnan R. Pillai

Birgitte Bak-Jensen

2023

Capacitor Allocation in Distribution Networks Based on a Two-Stage Analytical-Heuristic Approach

Electric Power Components and Systems

Meysam Montazeri

Alireza Askarzadeh

Birgitte Bak-Jensen

Jayakrishnan Radhakrishna Pillai

2023/8/27

Optimal Charging and Discharging Strategies for Electric Cars in PV-BESS-Based Marina Energy Systems

Electronics

Dawid Jozwiak

Jayakrishnan Radhakrishna Pillai

Pavani Ponnaganti

Birgitte Bak-Jensen

Jan Jantzen

2023/2/19

Short-term heat demand prediction using deep learning for decentralized power-to-heat solutions

Pavani Ponnaganti

Jayakrishnan R Pillai

Birgitte Bak-Jensen

2023/5/22

Ultra-short-term interval prediction of wind power based on graph neural network and improved bootstrap technique

Journal of Modern Power Systems and Clean Energy

Wenlong Liao

Shouxiang Wang

Birgitte Bak-Jensen

Jayakrishnan Radhakrishna Pillai

Zhe Yang

...

2023/1/25

Robust Reactive Power Scheduling of Distribution Networks Based on Modified Bootstrap Technique

Journal of Modern Power Systems and Clean Energy

Wenlong Liao

Shouxiang Wang

Birgitte Bak-Jensen

Jayakrishnan Radhakrishna Pillai

Zhe Yang

2023/5/19

Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting

arXiv preprint arXiv:2312.15741

Wenlong Liao

Fernando Porte-Agel

Jiannong Fang

Birgitte Bak-Jensen

Zhe Yang

...

2023/12/25

European (energy) data exchange reference architecture 3.0

Jose Ignacio Abad

Eric Lambert

Birgitte Bak-Jensen

Fenareti Lampathaki

Ferdinando Bosco

...

2023/7

Modelling and validation of latent heat storage systems for demand response applications

Rakesh Sinha

Pavani Ponnaganti

Birgitte Bak-Jensen

Jayakrishnan R Pillai

Carsten Bojesen

2023/6/12

Short-term power prediction for renewable energy using hybrid graph convolutional network and long short-term memory approach

Electric Power Systems Research

Wenlong Liao

Birgitte Bak-Jensen

Jayakrishnan Radhakrishna Pillai

Zhe Yang

Kuangpu Liu

2022/10/1

Deep neural network-based hierarchical learning method for dispatch control of multi-regional power grid

Hao Tang

Kai Lv

Birgitte Bak-Jensen

Jayakrishnan Radhakrishna Pillai

Zhengfeng Wang

2022/4/1

See List of Professors in Birgitte Bak-Jensen University(Aalborg Universitet)