Publications
On this page, all publications of the MegaMind program are listed. When you click on the link, a download will start, or you will be directed to a webpage where you can access the publication.
If you want to know more about a publication, you can also access the ‘Publication Booklet‘. In this booklet, you can find an overview and summaries of all publications per MegaMind researcher.
2025
- Leveraging the Belief Desire Intention Framework for Modeling the behavior of stakeholders in energy markets
- TensorConvolutionPlus: A python package for distribution system flexibility area estimation
- A time aggregation approach for reducing identifiability in household energy data
- Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
2024
- Navigating electricity network congestion: An examination of a principle-based regulatory theory and strategy
- Self-Organization in Cyberphysical Energy Systems: Seven Practical Steps to Agend-Based and Digital Twin-Supported Voltage Control
- Establishing a Hierarchical Local Market Structure Using Multi-cut Benders Decomposition
- Dynamic Data Pruning for Automatic Speech Recognition
- Are Sparse Neural Networks Better Hard Sample Learners?
- Achieving Long-term Time Series Forecasting Models with Fewer Than 1k Parameters through Dynamic Sparse Training
- E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
- Self-Organization in Cyberphysical Energy Systems: Seven Practical Steps to Agent-Based and Digital Twin-Supported Voltage Control
- Implementing the Clean Energy Package: options for balance responsibility for active consumers in the Netherlands
- Enhancing Privacy Through Time Aggregation of Load Profiles in Energy Management
- Quantifying Device Flexibility With Shapley Values in Demand Side Management
- Secure and Efficient Peer-to-Peer Energy Trading: A Case Study on Edge Computing Simulation Platform for Decentralized Decision Making
- Empowering Distributed Decision Making in Smart Grid: Secure Communication and Data Management for Edge Computing
- Regulating AI in the ‘twin transitions’: Significance and shortcomings of the AI Act in the digitalised electricity sector
- On the implementation of smart meters in the European Union: Legal considerations regarding privacy and personal data protection in times of the Twin Transitions
- Tensor Convolution-based Aggregated Flexibility Estimation in Active Distribution Systems
- Semi-supervised state classification in distribution systems with graph neural networks
- Navigating electricity network congestion: An examination of a principle-based regulatory theory and strategy
- Reliability Assessment of Multi-agent Reinforcement Learning Algorithms for Hybrid Local Electricity Market Simulation
2023
- Carbon, Cost and Capacity: Multi-objective Charging of Electric Buses
- AI and Energy Justice
- Online EV Charging Controlled by Reinforcement Learning with Experience Replay
- Can Less Yield More? Insights into Truly Sparse Training
- Realizing peer-to-peer trading in the electricity market in the EU and its Member States, Germany and the Netherlands
- Ex ante regulation in an era of fast-paced innovation – connecting the time and locus of regulation
- Deep reinforcement learning-based prosumer aggregation bidding strategy in a hierarchical local electricity market
- Democratizing AI from a sociotechnical perspective
- Exploring Operational Flexibility of Active Distribution Networks with Low Observability
- De metro als energiebedrijf: De juridische randvoorwaarden voor de inpassing van de E-OV-Hub als accelerator van de energie- en mobiliteitstransitie
- Hybrid local electricity market designs with distributed and hierarchical structures
2022
- A European Energy Transition based on three pillars: targets, markets and law
- Dynamic Sparse Network for Time Series Classification: Learning What to” see”
- Network-aware online charge control with reinforcement learning
The publications on this page are last updated on March 12th 2025.
