Optimization of the energy consumption in activated sludge process using deep learning selective modeling

This paper presents a method using an artificial neural network for creating an optimal model of energy consumption in wastewater treatment plant (WWTP) using activated sludge process. The advantage of this method is the use data usually measured in most of WWTP to optimize the energy consumption of...

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Vydané v:	Biomass & bioenergy Ročník 132; s. 105420
Hlavní autori:	Oulebsir, Rafik, Lefkir, Abdelouahab, Safri, Abdelhamid, Bermad, Abdelmalek
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2020
Predmet:	Activated sludge Deep learning Energy energy conservation neural networks Optimization pollution WasteWater wastewater treatment Deep learning Activated sludge WasteWater Energy Optimization
ISSN:	0961-9534, 1873-2909
On-line prístup:	Získať plný text
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