Projects per year
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Projects
- 2 Active
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Deep learning model predictive control for reduction of N2O emissions from WWTPs
Hansen, L. D., Løhndorf, P. D. & Hansen, A. A.
01/10/2021 → 30/09/2024
Project: Research
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Deep Leaning Model Predictive Control for Reduction of N2O Emissions from WWTPs
Hansen, L. D., Løhndorf, P. D. & Ortiz Arroyo, D.
15/09/2021 → 14/09/2024
Project: Other
Research output
- 2 Journal article
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Compressor Scheduling and Pressure Control for an Alternating Aeration Activated Sludge Process - a Simulation Study Validated on Plant Data: Wastewater Treatment and Reuse
Hansen, L. D., Veng, M. & Durdevic, P., 9 Apr 2021, In: Water (Switzerland). 13, 8, p. 1-30 30 p., 1037.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Downloads (Pure) -
Modelling Phosphorous Dynamics in a Wastewater Treatment Process using Bayesian Optimized LSTM
Hansen, L. D., Stokholm-Bjerregaard, M. & Løhndorf, P. D., 25 Oct 2021, (Submitted) In: Computers and Chemical Engineering.Research output: Contribution to journal › Journal article › Research › peer-review