Birgitte Bak-Jensen

Professor, Head of Studies

Aalborg University

Denmark

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Birgitte Bak-Jensen is a Professor and Head of Studies at Aalborg University, Denmark. Her research focuses on optimizing energy systems, including neural networks for wind power forecasting and dynamic pricing models in industry. She has also contributed to advancements in aquaculture cooling systems, electric vehicle control, and the establishment of local energy communities. Her work spans various aspects of demand-side flexibility and smart operation control in active distribution grids.

Articles (19)

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2025

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2020

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2020

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DENMARK

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Manuel Antonio Barrios Flores

Aalborg University

DENMARK

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Brian Vejrum Waehrens

Professor

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Birgitte Bak-Jensen

Research Interests

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About

Articles (19)

Leveraging Dynamic Pricing and Real-Time Grid Analysis: A Danish Perspective on Flexible Industry Optimization

Autonomous Control of Electric Vehicles using Voltage Droop

Optimizing Power Consumption in Aquaculture Cooling Systems: A Bayesian Optimization and XGBoost Approach Under Limited Data

Improving the accuracy and interpretability of neural networks for wind power forecasting

Establishment of local energy areas/communities: Barriers and solutions

A Grid-Forming Converter with MVDC Supply and Integrated Step-Down Transformer: Modeling, Control Perspectives, and Control Hardware-in-the-Loop (C-HIL) Verification

Demand-Side Flexibility in Power Systems, Structure, Opportunities, and Objectives: A Review for Residential Sector

Smart Operation Control of Power and Heat Demands in Active Distribution Grids Leveraging Energy Flexibility

Real-Time Simulation and Hardware-in-the-Loop Testing Based on OPAL-RT ePHASORSIM

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

Simple Data Augmentation Tricks for Boosting Performance on Electricity Theft Detection Tasks

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

Scenario prediction for power loads using a pixel convolutional neural network and an optimization strategy

Assessment of Energy Arbitrage Using Energy Storage Systems: A Wind Park’s Perspective

Optimising Energy Flexibility of Boats in PV-BESS Based Marina Energy Systems

Incentive Price-Based Demand Response in Active Distribution Grids

Hierarchical learning optimisation method for the coordination dispatch of the inter‐regional power grid considering the quality of service index

Robust Self-Scheduling of Operational Processes for Industrial Demand Response Aggregators

Modeling Daily Load Profiles of Distribution Network for Scenario Generation Using Flow-Based Generative Network

Collaborators (12)

Hessam Golmohamadi

Karthikeyan Nainar

Rakesh Sinha

Mohammad Monfared

Zhe Yang

Manuel Antonio Barrios Flores

Brian Vejrum Waehrens

Sreelatha Aihloor Subramanyam

FLORIN IOV

Pavani Ponnaganti

Hanchi Zhang

Jalal Sahebkar Farkhani

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