This paper presents data-driven insights from a case study that was carried out in an University EV charging plaza where EV charging demand is met with the combination of the University campus grid and installed solar capacity. First, we assessed the plaza dependency on the grid for meeting EV charging …

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 …

Climate change accentuates heat waves in The Netherlands. This, in combination with high nutrient concentrations in Dutch surface waters, is intensifying the proliferation of toxic blue-green algae (cyanobacteria), a threat for the health of the population and ecosystems. Lakes are resources for recreational …

Industrial control systems are essential for the functioning of our society since they control our electricity, water, agriculture, health, communication, transportation, emergency service and financial service. In the digital age of big data and data analytics these so-called critical infrastructures …

Forecasting systems require large quantities of data as input for reliable and adequate estimates. These estimates are used by policy makers to develop and implement effective and sound planning policies. In this case study, a forecasting system is presented to estimate the capacity needed in the near …