This study proposes a novel loss function for neural network models that explores the topological structure of stock realized volatility (RV) data by adding Wasserstein Distance (WD). The study shows that the proposed loss statistically significantly improves the forecast accuracy of neural network models …

Charging infrastructure deployment has taken off in many cities with the rise of the number of electric vehicles on the road. Expansion of infrastructure is a matter of prioritisation of resources to optimise the infrastructure. This paper explores how to measure charging station performance, to address …

Aim: The aim of this study is to further develop a preliminary framework into a model that can translate mechanisms into output and impact, based on the views of those working in practice and the relations between the mechanisms: a model that can inform practitioners and organizations on what has to …

Background: Although sleep problems in autistic teenagers are associated with impaired daytime functioning, it remains unclear how sleep and daytime functioning are related. Method: We used a network approach to disentangle patterns between sleep, sleep hygiene, and daytime functioning. Over a three-week …

In the constantly changing landscape of corporate sustainability, navigating the complex network of ESG reporting standards and frameworks has become a significant challenge for businesses worldwide. This research seeks to improve understanding of ESG reporting and shed light on the complexities of the …

This paper investigates the application of neural basis expansion analysis with exogenous variables (NBEATSx) in the prediction of daily stock realized volatility for various time steps. It compares NBEATSx’s forecasting accuracy and robustness with several commonly used models, namely Long-Short Term …

Evaluation of the hydrological performance of grassed swales usually needs long-term monitoring data. At present, suitable techniques for simulating the hydrological performance using limited monitoring data are not available. Therefore, current study aims to investigate the relationship between saturated …

This study explores the intent of designers involved in design for sustainability and how responsible innovation can be collectively implemented. To do so, a case study using situational analysis was conducted with graduates of the Fabricademy program: a 6-month program on textiles and new technologies …

While digitalisation requires facilities management (FM) organisations to change at an increasing rate, little is known about the mechanisms that create ownership and enable individuals to implement changes in everyday FM practice. In this study, these mechanisms are explored from a stewardship perspective. …

The capacity of the newly inaugurated airport terminal in Mexico City, opened in 2022, has sparked debates regarding its adequacy to accommodate future demand. To address this critical question, our study employs simulation-based analysis to assess the terminal's true potential. By simulating various …