Data-driven modelling based on artificial neural networks for predicting energy and effluent quality indices and wastewater treatment plant optimization

Mihály, Norbert-Botond; Simon-Várhelyi, Melinda; Cristea, Vasile

doi:10.1007/s11081-022-09724-5

Cited by 8 publications

(1 citation statement)

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“…Sustainable wastewater treatment technologies are needed to cope with the scarcity of water resources and the growing problem of surface water pollution. The work by Mihály et al (2022) dealt with the optimization of a Wastewater Treatment Plant (WWTP), wherein WWTP energy and quality performance indices were predicted using Artificial Neural Networks (ANNs). The research also included finding the best setpoints, considered decision variables in the optimization problem, for the Nitrates and Dissolved Oxygen control loops, The first research stage aimed to develop ANN models for predicting the WWTP effluent quality index (EQ) using a small dataset generated by the calibrated first-principle plant model.…”

Section: Overview Of the Special Issue Articlesmentioning

confidence: 99%

Introductory remarks on the special issue of Optimization and Engineering dedicated to SDEWES 2021 conference

et al. 2022

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The background of this Special Issue (SI) of the Optimization and Engineering (OPTE) journal is the 2021 Sustainable Development of Energy, Water and Environment Systems (SDEWES) Conference. This broad field was discussed by the participants of the 16th SDEWES Conference held in Dubrovnik, Croatia. This SI aims to bring together articles that discuss recent advances in optimization methods and algorithms that integrate various life-supporting systems. A decision-making problem often appears as a parameter estimation problem; it can be formulated as an optimization model and solved using different optimization algorithms and techniques. All papers included in this OPTE journal SI consider aspects of numerical analysis, mathematical modelling, and computational methods involved in investigating, planning and implementing sustainable development. In this context, the guest editors have confidence that the selected papers and addressed issues will substantially contribute to the increase of the knowledge body published in the OPTE journal, and the SI will be a powerful platform for researchers to discuss, share, and disseminate new ideas.

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Section: Overview Of the Special Issue Articlesmentioning

confidence: 99%