Projects
Data-driven distributed control and optimisation for multi-energy demand management in local energy communities and microgrids KU Leuven
Multi-energy systems use multiple energy carriers (electricity, heat, gas,…) to supply end-users with energy services such as space heating, hot water, lighting, electric vehicle charging, etc. These energy carriers are coupled to each other via energy conversion units (coupled heat power generation, heat pumps, electric and gas boilers, etc.). The ability to supply the energy service from different carriers allows for operational ...
Spatially distributed recharge and groundwater – surface water interactions in groundwater models: from the field to the catchment scale KU Leuven
Flow and transport in lowland area aquifers are strongly influenced by recharge processes and interactions with the surface water network. In lowlands, the groundwater table is close to the topographic surface. Therefore, the interactions between groundwater, atmosphere, soil, vegetation and surface water take place over short distances, within the so-called critical zone. Because of these short distances and the non-linearity of flow ...
Dynamic Adaptation Techniques for Large-scale Distributed Systems KU Leuven
In the Cloud Computing paradigm, Software-as-a-Service (SaaS) is a delivery model that allows small-to-mid-sized organizations (called tenants) to out-source the operation of their business applications to a SaaS provider, and consume the (software) service on-demand and remotely via the Internet. For tenants, key requirements to that service are (i) cost efficiency and (ii) reliable service quality. Moreover, (iii.a) business applications ...
Continual Learning: how to defy catastrophical forgetting KU Leuven
Lately there have been impressive improvements in the fields of Machine Intellegence and AI. The problem with these recent models is that they are not able to adapt or evolve. This is problematic when the model has to learn a new category or label, a new action or behavior or something else. The only way a static model can adapt and learn something new is by retraining on all previous data and the new data combined. This means that all ...
Study of a family of asymmetric densities and flexible quantile regression KU Leuven
Probability distributions are fundamental tools for data analysis and statistical inference. Although often a symmetric distribution is used as a reference density for statistical modelling, it is unsuitable for multiple other applications. In this dissertation, we study a broad family of asymmetric distributions that can describe skewed data properly. A symmetric density is a special element in this family of densities. Based on the proposed ...
New Language Constructs and Inferences for the Knowledge Base Paradigm: A Business and Multi-agent Perspective KU Leuven
In Artificial Intelligence, the scientific field of Knowledge Representation and Reasoning (KRR) is concerned with developing formal languages, to represent knowledge, and inference methods to solve tasks using that knowledge. Most of the existing approaches develop a formal language (a logic) together with an inference, to solve some type of computational task. The recently proposed Knowledge Base (KB) paradigm applies a strict separation of ...
Value of Flexibility in Future Electricity Markets KU Leuven
Context
Flexibility is defined as the ability of power systems to cope with expected and unexpected changes in demand and generation, as well as grid disturbances. New technology trends such as variable, renewable generation and distributed energy resources challenge the demand as well the supply of flexibility, historically provided by conventional power plants. The development and deployment of additional resources for flexibility is ...
DNS Abuse and Active Authentication: Applications of Machine Learning in Cyber Security KU Leuven
In today’s digital world, cyber security is essential for a fair and well-functioning society. People, as well as companies and governments must be able to trust their computers, mobile devices and the services they use from companies and governments.
An important element of cyber security is the fight against cyber crime. This fight has surpassed the deployment of ‘passive infrastructure’ such as firewalls and access control systems ...
Precision measurements of the electron energy distribution in nuclear beta decays KU Leuven
Although nuclear β decays have been studied for almost a century, there are still questions that can be answered through precision measurements of the energy distribution of emitted electrons. The shape of the β spectrum reflects not only the weak interaction responsible for the decay. It is also sensitive to the strong interaction which confines the decaying quark in the nucleon. The electromagnetic force also plays a role since the ejected ...