Become a pilot partner
RESEARCH

Built on research at TU Delft.

Our team-members are involved in supervision and research at TU Delft at various levels: PhD projects, MSc thesis projects, internships, etc. Below is a selection of recent work with relevance to Greenville. Note that these are independent scientific publications, with no formal role of Greenville.

TYPE
TOPIC
No research matches these filters.
THESIS2026
A Graph Neural Network approach for wake prediction in offshore wind farms using Large Eddy SimulationsCasper van den Berg · MSc thesis

Energy system optimization models can be used to model electricity prices, but are known to produce “too flat” price curves. This thesis explores various techniques to get more realistic prices.

Wind farm wake effectsGraph Neural Networks
WHY IT MATTERSShows the potential of Graph Neural Networks for fast and accurate wind farm wake modelling
READ →
MSC THESIS2026
Fundamental Approaches to Dutch Electricity Price FormationJuliette van Delden · MSc thesis

Energy system optimization models can be used to model electricity prices, but are known to produce “too flat” price curves. This thesis explores various techniques to get more realistic prices.

Electricity marketsPrice forecasting
WHY IT MATTERSExplores how energy system models can yield more realistic price forecasts
READ →
JOURNAL2026
Exploring the trade-offs among flexibility options in hydrogen productionNour El Din, Verzijlbergh & De Vries · Frontiers in Energy Research

A power system model coupled to a grid-connected electrolyser and storage, with a new method for mapping near-optimal regions. The results show how flexible hydrogen consumption and storage investment complement one another.

HydrogenFlexibilityNear-optimal analysis
WHY IT MATTERSPlaceholder — helps hydrogen project developers size electrolysers and storage with confidence.
READ →
THESIS2026
Energy transport through coordinated wake control in offshore windfarm clustersDennis Hoeflaak · MSc thesis

Wind farm wake effects are usually ignored in energy system optimization models. Embedding them in the optimization model yields a powerful tool to investigate the value of energy system aware wind farm control, letting the wind transport the energy to where it is needed.

Electricity systemsWind farmOptimization
WHY IT MATTERSShows the value of energy system aware wind farm control by embedding wake effects in an energy system optimization model
READ →
CONFERENCE2025PLACEHOLDER
Learned warm-starts for unit commitmentAuthor names · Venue

Placeholder abstract — one or two sentences on the method and the headline result.

Machine learningSolver acceleration
WHY IT MATTERSPlaceholder — shorter solve times for day-ahead scheduling.
READ →
THESIS2025PLACEHOLDER
Scenario reduction for long-term capacity expansionAuthor name · MSc thesis

Placeholder abstract — one or two sentences on the method and the headline result.

Capacity expansionUncertainty
WHY IT MATTERSPlaceholder — more scenarios explored within the same compute budget.
READ →
THESIS2024PLACEHOLDER
GPU-parallel solving of grid dispatchAuthor name · MSc thesis

Placeholder abstract — one or two sentences on the method and the headline result.

Solver accelerationGrid
WHY IT MATTERSPlaceholder — studies that ran overnight finish within the hour.
READ →
JOURNAL2024PLACEHOLDER
Flow-based market coupling in European dispatch modelsAuthor names · Journal

Placeholder abstract — one or two sentences on the method and the headline result.

Electricity marketsGrid
WHY IT MATTERSPlaceholder — cross-border flows that match how the market actually clears.
READ →
THESIS2023PLACEHOLDER
Weather-driven renewable uncertainty in dispatchAuthor name · MSc thesis

Placeholder abstract — one or two sentences on the method and the headline result.

Renewable integrationUncertainty
WHY IT MATTERSPlaceholder — dispatch plans that hold up under real weather.
READ →
JOURNAL2023PLACEHOLDER
Surrogate models for transmission expansion planningAuthor names · Journal

Placeholder abstract — one or two sentences on the method and the headline result.

Machine learningCapacity expansion
WHY IT MATTERSPlaceholder — screening thousands of grid plans before the full model runs.
READ →

Supervising a thesis or working on a related problem? We are happy to collaborate.

GET IN TOUCH →
© 2026 Greenville Analytics · Europe