Here, we delve into Demand Forecasting via Machine Learning, dissecting how to predict future demand using time-sensitive data. Westveer highlights key forecasting models, from the basic Simple Exponential Smoothing to the advanced SARIMA, applied to an electricity production dataset. The session, encapsulating …

Graduation report on the research and development of machine learning-based electrical usage forecaster for microgrids. Details my process of conceptualising and designing the application.

Research finds that the global market value of cargo bikes will hit 2.4 billion euros by 2031. Analysts with Future Market Insights assessing the growth of cargo bikes have placed the parcel courier industry as a key buyer of electric cargo bikes, forecasting that 43 per cent of sales could go to this …

In recent years, Somalia has experienced recurrences of droughts, which are exacerbated by two reasons. First, most parts of the country are naturally arid and semi-arid lands, which experience frequent droughts. Second, climate change has contributed to increased incidences of prolonged droughts, whose …

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 …

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. …

This study focuses on forecasting tomato sap flow in relation to various climate and irrigation variables. The proposed study utilizes different machine learning (ML) techniques, including linear regression (LR), least absolute shrinkage and selection operator (LASSO), elastic net regression (ENR), support …

All Gone is a series of experiments with AI that build on existing collections of climate fiction to create much-needed new climate imaginaries. As the climate crisis is also a “crisis of imagination” (Ghosh, 2016), this project turns to the art genre that is best at forecasting and imagining alternative …

Although Corona is a very nasty virus, we can learn from the global imbalance it causes. The "official" opinions are raised above any reasonable and unreasonable doubt, which is dangerous, because unexpected events, such as the new Coronavirus, always lack knowledge at first. By accepting assumptions …