Investment decisions in competitive power markets are based upon thorough profitability assessments. Thereby, investors typically show a high degree of risk aversion, which is the main argument for capacity mechanisms being implemented around the world. In order to investigate the...

Machine learning and agent-based modeling are two popular tools in energy research. In this article, we propose an innovative methodology that combines these methods. For this purpose, we develop an electricity price forecasting technique using artificial neural networks and integrate the novel...

With the increasing amount of volatile infeed from renewable energy sources the need for flexibility becomes more and more urgent. This holds especially for the distribution grids where critical load situations caused by high local renewable infeed occur increasingly often. Therefore, demand...