Coordination Strategies for Reducing Price Volatility in Local Electricity Markets

With increasing renewable energy and cross-sectoral electrification price volatility is increasing. Flexibility through demand-side management and electric storage has the potential for reducing price volatility. In this thesis, using duality theory the flexibility required for constraining price to a maximum limit is quantified. <br/...

Generalized Models of Sequential Decision-Making under Uncertainty

Sequential decision-making under uncertainty is an important branch of artificial intelligence research with a plethora of real-life applications. In this thesis, we generalize two fundamental properties of the decision-making process. First, we show that the theory on planning methods for finite spaces can be extended to infinite but countable...

Incorporating institutions into optimization-based energy system models

The pledge for a carbon-free energy system in 2050 requires significant investments into renewable energy sources (RES). The relevant questions are: what technologies to select, where to build them, how much the capacities are, and at what cost. In order to answer these techno-economic questions, optimization models are commonly used to sketch a...