Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Johan Driesen

Full Professor

KU Leuven

Belgium

Research Interests

Explore related searches

Professors in Belgium Professors in Energy Engineering Energy Engineering professors in Belgium

About

Johan Driesen is a Full Professor at KU Leuven, Belgium. His research primarily focuses on low-voltage direct current microgrids, photovoltaic power forecasting, and power converter methodologies. He has contributed to the advancement of real-time condition monitoring for MOSFETs and the optimization of PV-battery systems through various innovative approaches. His work involves applying advanced optimization techniques and modeling methodologies to enhance the reliability and efficiency of electrical systems.

Articles (15)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2020

Year:

2020

Year:

2020

Collaborators (2)

Johan Suykens

Full Professor

KU Leuven

BELGIUM

View details

Michael Daenen

Associate Professor

Hasselt University

BELGIUM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Johan Driesen

Research Interests

Explore related searches

About

Articles (15)

SolNet: Open-source deep learning models for photovoltaic power forecasting across the globe

The impact of protection devices on the availability of low-voltage direct current microgrids

Real-Time MOSFET Condition Monitoring for Variable Mission Profiles With a Dual Extended Kalman Filter

Automated Power Converter Topology Derivation Methodology Based on Exhaustive Graph Search

A semi-Markovian approach to evaluate the availability of low voltage direct current systems with integrated battery storage

Convex optimization of PV-battery system sizing and operation with non-linear loss models

Impact of Network Tariffs and Electricity Prices on the Investment Decisions for PV-Battery Systems

Moving towards a methodology for conductor sizing and protection in LVDC microgrids

Using Domain-Augmented Federated Learning to Model Thermostatically Controlled Loads

Comparison of GaN Enhancement Mode Transistor Performance With Integrated and External Driver

A stepwise methodology for the design and evaluation of protection strategies in LVDC microgrids

Sample Efficient Reinforcement Learning With Domain Randomization for Automated Demand Response in Low-Voltage Grids

Fuse-Based Short-Circuit Protection of Converter Controlled Low-Voltage DC Grids

Conversion Efficiency of the Buck Three-Level DC–DC Converter in Unbalanced Bipolar DC Microgrids

The Sensitivity of an Electro-Thermal Photovoltaic DC–DC Converter Model to the Temperature Dependence of the Electrical Variables for Reliability Analyses

Collaborators (2)

Johan Suykens

Michael Daenen

Make your next move.