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Balancing energy markets and imbalance mechanisms are pressing issues to provide flexibility for the electricity system to enable an efficient integration of volatile renewable energies. Because of the need for flexibility and shortterm (generation or demand) reaction to forecast errors of renewable generation, liquidity and market volume of short-term markets have significantly increased. In Austria,...
One of the most important instruments to be able to provide the needed level of flexibility in the electricity system supporting renewable energy integration are balancing markets. We propose a dynamic approach of balancing procurement using machine learning algorithms. We apply a simulation for a Dynamic Day-Ahead Dimensioning Model to the Austrian delta control area. By using public data on renewables,...
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