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Sino-Danish Centre for Education and Research

China

17 papers here648 citations across 17
fields
  • cond-mat.mes-hall8
  • physics.app-ph2
  • cond-mat.str-el1
  • cond-mat.supr-con1
  • eess.SP1
  • math.OC1
  • physics.chem-ph1
  • q-bio.NC1
ROR 020gjh112OpenAlex

affiliations via OpenAlex

output
20152024
most citedOptimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning

148 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • J. Nygård2 profiles8 · h 54
  • A. Vekris7 · h 9
  • K. Grove‐Rasmussen7 · h 21
  • P. Krogstrup4 · h 50
  • T. Kanne4 · h 16
  • Aijie Wang2 profiles3 · h 79
  • Dāgs Olšteins3 · h 8
  • J. C. E. Saldaña3 · h 8
  • J. C. Estrada Saldaña3 · h 11
  • M. Marnauza3 · h 7
  • R. Žitko3 · h 31
  • Hong-cheng Wang2 · h 39
collaborating institutions
  • University of Chinese Academy of SciencesCN16 papers
  • University of CopenhagenDK9 papers
  • Chinese Academy of SciencesCN6 papers
  • Jožef Stefan InstituteSI3 papers
  • University of LjubljanaSI3 papers
  • Microsoft (Denmark)DK2 papers
  • National Center for Nanoscience and TechnologyCN2 papers
  • Research Center for Eco-Environmental SciencesCN2 papers
  • Technical University of DenmarkDK2 papers
  • Aalborg UniversityDK1 paper
  • Academy of Opto-ElectronicsCN1 paper
  • Beijing Academy of Artificial IntelligenceCN1 paper
Showing eess.SPShow all

1 paper · 1 filter

eess.SP2020★ 148 cited

Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning

Kehua Chen, Hongcheng Wang, Borja Valverde-Perezc +3

Wastewater treatment plants are designed to eliminate pollutants and alleviate environmental pollution. However, the construction and operation of WWTPs consume resources, emit gre…

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