Advanced control by reinforcement learning for wastewater treatment plants: a comparison with traditional approaches

HIGHLIGHTS

  • who: Fu00e9lix Hernu00e1ndez-del-Olmo and colleagues from the Department of Artificial Intelligence, National Distance Education University (UNED), Juan Rosal, Madrid, Spain have published the Article: Advanced Control by Reinforcement Learning for Wastewater Treatment Plants: A Comparison with Traditional Approaches, in the Journal: (JOURNAL)
  • what: The paper focuses on recent published research that describes different control structures to control the DO concentration and the aerobic volume, with a special focus on plants with nitrogen removal. The aim of this paper is to compare the RL agent with more complex PI-based techniques; more specifically, those . . .

     

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