Prediction of effluent quality in a wastewater treatment plant by dynamic neural network modeling

Y Yang, KR Kim, R Kou, Y Li, J Fu, L Zhao… - Process Safety and …, 2022 - Elsevier
Improving the operation, management, and consequent performance of wastewater
treatment plants (WWTPs) for conserving the water environment is crucial. Recent …

The impacts of wave energy conversion on coastal morphodynamics

C Ozkan, K Perez, T Mayo - Science of the Total Environment, 2020 - Elsevier
In recent decades, utilization of renewable energy resources, including ocean waves, has
been promoted as part of a global effort to transition away from the use of fossil fuels. This is …

Information theory-based dynamic feature capture and global multi-objective optimization approach for organic Rankine cycle (ORC) considering road environment

X Ping, F Yang, H Zhang, J Zhang, C Xing, Y Yan… - Applied Energy, 2023 - Elsevier
Efficient capture and global optimization of organic Rankine cycle (ORC) operating features
in road environment is the key to obtain actual waste heat recovery potential. The complexity …

Prediction of wildfire rate of spread in grasslands using machine learning methods

S Khanmohammadi, M Arashpour… - … Modelling & Software, 2022 - Elsevier
Prediction of wildfire propagation plays a crucial role in reducing the impacts of such events.
Various machine learning (ML) approaches, namely Support Vector Regression (SVR) …

[HTML][HTML] Balancing power production and coastal protection: A bi-objective analysis of Wave Energy Converters

B Battisti, G Giorgi, GV Fernandez - Renewable Energy, 2024 - Elsevier
Abstract Wave Energy Converters (WECs) have the potential to serve dual purposes,
generating power and protecting coastlines. Although traditionally the focus has been on …

[HTML][HTML] A nearshore evolution model for sandy coasts: IH-LANSloc

M Álvarez-Cuesta, IJ Losada, A Toimil - Environmental Modelling & …, 2023 - Elsevier
This paper presents IH-LANSloc (IH-Long-term Anthropized coastlines Simulation tool for
local-scale studies), a numerical model that solves shoreline and nearshore evolution at …

A synergistic multi-objective optimization mixed nonlinear dynamic modeling approach for organic Rankine cycle (ORC) under driving cycle

X Ping, F Yang, H Zhang, C Xing, Y Pan, H Yang… - Applied Thermal …, 2023 - Elsevier
Organic Rankine cycle (ORC) synergistic multi-objective optimization is the key to obtain the
actual waste heat recovery potential under dynamic driving cycle. The ORC operation shows …

A novel multi-hazard risk assessment framework for coastal cities under climate change

E Laino, I Toledo, L Aragonés, G Iglesias - Science of The Total …, 2024 - Elsevier
Coastal cities, as centres of human habitation, economic activity and biodiversity, are
confronting the ever-escalating challenges posed by climate change. In this work, a novel …

Ensemble of self-organizing adaptive maps and dynamic multi-objective optimization for organic Rankine cycle (ORC) under transportation and driving environment

X Ping, F Yang, H Zhang, C Xing, A Yang, Y Yan… - Energy, 2023 - Elsevier
Efficient construction and optimization of mapping correlation of organic Rankine cycle
(ORC) system under driving environment is the key to obtain the actual waste heat recovery …

Rational design of high power density “Blue Energy Harvester” pressure retarded osmosis (PRO) membranes using artificial intelligence-based modeling and …

R Rath, D Dutta, R Kamesh, MH Sharqawy… - Energy Conversion and …, 2022 - Elsevier
The challenge in harvesting Salinity Gradient Power (SGP) through pressure retarded
osmosis (PRO) requires design of high power density (PD) membranes and optimized …