Projects
Data-driven energy systems modeling for cost-efficient balancing KU Leuven
Our energy system is undergoing a major transition towards a more sustainable and less carbon-intensive system, characterized by an increased penetration of renewable energy sources, higher energy efficiency and reduced emissions of greenhouse gasses. In Belgium, the nuclear phase-out, which currently represents 40% of the installed capacity, fosters this integration of decentralized, intermittent generation, such as wind and solar power. In ...
Psychology of Data-Driven Decisions Vlerick Business School
Data-driven models for energy systems and markets: a causal ML approach KU Leuven
Data science tools and data-driven decision-making are being increasingly used in the operation of critical infrastructure such as the electricity and transportation grid. This is driven by the increasing flexibility needs and opportunity arising from proliferation of distributed energy resources such as solar PV, electric vehicles and batteries. However, by definition, many data science tools (e.g. machine learning models) assume a ...
Psychology of Data-Driven Decisions KU Leuven
In the last decade, many companies have made major investments in data analytics. Most conversations around data-driven decision-making emphasize metrics, algorithms, and technology. While that’s understandable given the quick developments in these areas, the danger is we lose sight of decisions, people, and psychology. The goal of this project is to unravel how managers interpret marketing metrics, examine how their interpretations influence ...
Towards cost-optimal energy communities: realizing privacy aware and data-driven energy efficiency, flexibility and climate resilience KU Leuven
Energy communities are a key enabling technology to prevent climate change by facilitating new energy market designs and promoting renewable energy sources (RES). This pivot towards energy communities follows directly from the grid issues created by increasing electrification of demand and proliferation of RES. Pilots have shown that it is possible to address these issues by leveraging the flexibility in energy communities, e.g. in thermal ...
Data-driven logistics Hasselt University
Data-driven methodology for the real-time monitoring of the remaining useful life of electronic systems KU Leuven
Data-driven logistics. KU Leuven
Logistics is of significant importance in Flanders. This diverse sector involves different types of activities such as warehousing, transport, terminal operations and loading. Each of these activities involves various complex operational decisions which are often interrelated and subject to rapidly changing market conditions and environments. Therefore, good decision support software is essential for companies to remain competitive.
...Psychology + Data for Better Marketing KU Leuven
In recent years, the consumer and managerial information environment has changed dramatically. Consumers and managers now increasingly rely on data and technology to make decisions. The goal of this dissertation is to examine the psychology of data- and technology-driven decision-making. We will examine questions such as how consumers interpret online reviews when making purchase decisions, how managers interpret marketing metrics when making ...