David Schönheit graduated with a M.Sc. in Industrial Engineering and Managmenet from TU Berlin, with a specializatoin in Energy and Resource Management. His studies included a one-year stay at Davidson College, North Carolina. David was a research associate at the Chair of Energy Economics of TU Dresden from 2018 to 2021 and is currently pursiung his PhD. His research includes capacity calculations for cross-border trade, specifically flow-based market coupling, modeling of energy systems, statistical forecast techniques and interactions between renewable energy and power markets. David has published a number of papers on the topic of flow-based market coupling, e.g. analyses on generation shift keys, congestion forecasts and selection of critical network elements. Further, he was involved in various national and international projects at the Chair of Energy Economics, including research projects with other universities as well as projects for European grid operators.
Measuring the effect of corrective short-term updates for wind energy forecasts on intraday electricity prices
This paper investigates the impact of wind energy updates on intraday prices and proposes the use of merit-order-based models to counter price uncertainties stemming from updates.
Zone-wide prediction of generating unit-specific power outputs for electricity grid congestion forecasts
This paper explores various statistical and statistical learning methods, with the goal of adequately predicting the on/off status and power output levels of all power plants within a control zone.