Smart electricity meters have been replacing conventional meters worldwide, enabling automated collection of fine-grained (every 15 minutes or hourly) consumption data. A variety of smart meter analytics algorithms and applications have been proposed, mainly in the smart grid literature, but the focus thus far has been on what can be done with the data rather than how to do it efficiently. In t...

Although several qualitative analyses appeared in the domain of Learning Analytics (LA), a systematic quantitative analysis of the effects of the empirical research findings toward the development of more reliable Smart Learning Environments (SLE) is still missing. This chapter aims at preserving and enhancing the chronicles of recent LA developments as well as covering the Z. Papamitsiou (*) •...

A utility’s meter data is a valuable asset that can be daunting to leverage. Consider that one household or premise can produce over 35,000 rows of information, consisting of over 8 MB of data per year. Thirty thousand meters collecting fifteen-minute-interval data with forty variables equates to 1.2 billion rows of data. Using SAS® Visual Analytics, we provide examples of leveraging smart mete...

Internet of Things (IoT) has become a promising technology for addressing societal challenges by connecting smart devices and enabling big data analytics creating smart cities worldwide. As the IoT scales up, it is important to provide interoperability of different devices. We highlight that simply standard protocols are not sufficient for openness and interoperability. IoT for smart cities nee...

The transformation of electrical grids into smart-grid is seen as one of the major technological challenges of our times and at the same time as one of the key domains for Internet of Things (IoT). Smart-home technologies and corresponding analytics are an integral part of many use cases in this field. In this paper we present a cloud-based test bed for capturing and analyzing smart-home data a...

Making decision is a far from straightforward process, as it often requires to consider a number of complex criteria whose importance relies on the experiences and the preferences of the decision makers involved. Being able to structure and reproduce this knowledge is a challenging issue in the context of strategic decision making, and also common BI analytics can benefit from the joint use of ...

Container-based application deployments have received significant attention in recent years. Operating system virtualization based on containers as a mechanism to deploy and manage complex, large-scale software systems has become a popular mechanism for application deployment and operation. Packaging application components into selfcontained artifacts has brought substantial flexibility to deve...