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 …

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 …

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 …

As the first order of business in the RIGHT project, each region produced and published its own regional report, using an underlying format developed in work package 3 in this project (Manickam & van Lieshout, 2018). The format and the regional work consisted of three parts. Part 1 is the Regional Innovation …

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 …

As an Argentinean eCommerce business, GoodPeople decided to acquire Avenida, an online platform that was owned by Flipkart, the Indian market leaders in eCommerce, in the end of 2017. Flipkart had to face a sharp decline in sales figures which was the reason the company decided to sell the marketplace. …