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The second part of the thesis focuses on a different stochastic problem of finding the optimal hedging points in a manufacturing flow control system. Our simulation-based method allows solving large scale systems that are considered very difficult to solve by current standards in the literature.
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Quantity and price risks determine key uncertainties market participants face in electricity markets with increased volatility, for instance due to high shares of renewables. In the time from day-ahead until real-time, there lies a large variation in best available information, such as between...
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