[HTML][HTML] Global Sensitivity Analysis of environmental models: Convergence and validation
We address two critical choices in Global Sensitivity Analysis (GSA): the choice of the
sample size and of the threshold for the identification of insensitive input factors. Guidance to …
sample size and of the threshold for the identification of insensitive input factors. Guidance to …
[HTML][HTML] Sensitivity analysis of offshore wind farm operation and maintenance cost and availability
R Martin, I Lazakis, S Barbouchi, L Johanning - Renewable Energy, 2016 - Elsevier
Abstract Operation and Maintenance (O&M) costs are estimated to account for 14%–30% of
total Offshore Wind Farm (OWF) project lifecycle expenditure according to a range of studies …
total Offshore Wind Farm (OWF) project lifecycle expenditure according to a range of studies …
A performance comparison of sensitivity analysis methods for building energy models
The choice of sensitivity analysis methods for a model often relies on the behavior of model
outputs. However, many building energy models are “black-box” functions whose behavior …
outputs. However, many building energy models are “black-box” functions whose behavior …
An algorithm for selecting a machine learning method for predicting nitrous oxide emissions in municipal wastewater treatment plants
B Szeląg, E Zaborowska, J Mąkinia - Journal of Water Process Engineering, 2023 - Elsevier
This study presents an advanced algorithm for selecting machine learning (ML) models for
nitrous oxide (N 2 O) emission prediction in wastewater treatment plants (WWTPs) …
nitrous oxide (N 2 O) emission prediction in wastewater treatment plants (WWTPs) …
Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology
Biochemical oxygen demand (BOD), chemical oxygen demand (COD), total dissolved solids
(TDS) and total suspended solids (TSS) are the most commonly regulated wastewater …
(TDS) and total suspended solids (TSS) are the most commonly regulated wastewater …
[HTML][HTML] Assessing convergence in global sensitivity analysis: a review of methods for assessing and monitoring convergence
In global sensitivity analysis (GSA) of a model, a proper convergence analysis of metrics is
essential for ensuring a level of confidence or trustworthiness in sensitivity results obtained …
essential for ensuring a level of confidence or trustworthiness in sensitivity results obtained …
[HTML][HTML] Model-based identification of the dominant N2O emission pathway in a full-scale activated sludge system
M Maktabifard, K Blomberg, E Zaborowska… - Journal of Cleaner …, 2022 - Elsevier
Activated sludge models (ASMs), extended with an N 2 O emission module, are powerful
tools to describe the operation of full-scale wastewater treatment plants (WWTPs) …
tools to describe the operation of full-scale wastewater treatment plants (WWTPs) …
[PDF][PDF] 'One size does not fit all': A roadmap of purpose-driven mixed-method pathways for sensitivity analysis of agent-based models
Designing, implementing, and applying agent-based models (ABMs) requires a structured
approach, part of which is a comprehensive analysis of the output to input variability in the …
approach, part of which is a comprehensive analysis of the output to input variability in the …
Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational …
Dynamical earth and environmental systems models are typically computationally intensive
and highly parameterized with many uncertain parameters. Together, these characteristics …
and highly parameterized with many uncertain parameters. Together, these characteristics …
Global sensitivity analysis for urban water quality modelling: Terminology, convergence and comparison of different methods
Sensitivity analysis represents an important step in improving the understanding and use of
environmental models. Indeed, by means of global sensitivity analysis (GSA), modellers may …
environmental models. Indeed, by means of global sensitivity analysis (GSA), modellers may …