Short- and mid-term uncertainties affecting the trade and transmission of electricity with a focus on flow-based market coupling

This dissertation makes important contributions to the field of quantifying the effects of renewable energy on power markets as well as the field of flow-based market coupling. This dissertation i) isolates the effects of electricity generated from renewable energy sources on energy exports, carbon emissions reductions as well as price levels and price uncertainties, ii) develops and uses optimization model-based representations of flow-based market coupling to estimate the effects of the most important parameters within its procedure, iii) provides first analyses regarding the anticipated effect of trade on the grid and on the detailed level of individual critical network elements within flow-based market coupling, iv) tests various statistical and statistical learning approaches for the prediction of power plant output, v) develops a feasible, data-driven and dynamic approach for generation shift keys, vi) measures the effects of minimum trading capacities on overall welfare and congestion management amounts and costs, and vii) provides an open-access model and easy-to-understand guide to flow-based market coupling as a starting point for students, researchers and operative users.