CO₂ emissions from electricity generation in the Netherlands fluctuate on an hourly basis, depending on which power plants are active in the energy mix. Accurate next-day forecasts of these emissions would enable companies to align energy consumption with low emission periods, but reliable forecasting …

Purpose This study aims to critically evaluate the competitiveness of Transformer-based models in financial forecasting, specifically in the context of stock realized volatility forecasting. It seeks to challenge and extend upon the assertions of Zeng et al. (2023) regarding the purported limitations …

This paper presents user-friendly code for the implementation of a loss function for neural network time series models that exploits the topological structures of financial data. By leveraging the recently-discovered presence of topological features present in financial time series data, the code offers …

Completeness of data is vital for the decision making and forecasting on Building Management Systems (BMS) as missing data can result in biased decision making down the line. This study creates a guideline for imputing the gaps in BMS datasets by comparing four methods: K Nearest Neighbour algorithm …

This paper tries to ascertain the overall impact of the COVID-19 pandemic on the Dutch criminal justice system. In the Netherlands, the first case of COVID-19 was reported in February 2020. On March 16, 2020, the Netherlands went into its first lockdown which lasted until approximately June 15, 2020. …