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Building day-ahead bidding functions for seasonal storage systems: A reinforcement learning approachLago, Jesus (author), Sogancioglu, Ecem (author), Suryanarayana, Gowri (author), Ridder, Fjo De (author), De Schutter, B.H.K. (author)Due to the increasing integration of renewable sources in the electrical grid, electricity generation is expected to become more uncertain. In this context, seasonal thermal energy storage systems (STESSs) are key to shift the delivery of renewable energy sources and tackle their uncertainty problems. In this paper, we propose an optimal...journal article 2019