The Internet of Things (IoT) is offering unprecedented observational data that are used for managing Smart City utilities. Edge and Fog gateway devices are an integral part of IoT deployments to acquire real-time data and enact controls. Recently, Edge-computing is emerging as first-class paradigm to complement Cloud-centric analytics. But a key limitation is the lack of a platform-as-aservice ...

These days, unless something has the epithet “smart” attached to it, it is nothing. Smart Energy solutions promise cleaner, cheaper and more reliable energy. Smart Cities promise better quality of life for its citizens. We will argue that for a “system” to be SMART, it should Sense Meaningfully, Analyze and Respond Timely. Using real-world examples from the domains of Smart Energy and Smart Cit...

We consider real-life smart parking systems where parking lot occupancy data are collected from field sensor devices and sent to backend servers for further processing and usage for applications. Our objective is to make these data useful to end users, such as parking managers, and, ultimately, to citizens. To this end, we concoct and validate an automated classification algorithm having two ob...

Author: Andre Szykier CEO/CTO GridPlex Networks LLC Copyright © 2010 P ag e1 Demand Response and Grid Management are power utility initiatives driven by Federal and State stimulus programs to make the electric grid more reliable, secure and intelligent. The first step in making a grid “smart” is by replacing existing end user power utility meters with smart meters that support bi-directional co...

The past decade has witnessed tremendous improvements in an expanding number of computing capabilities -sensors, advanced analytics, networks, data infrastructure, advanced imaging, and cyberphysical systems -that have, and will continue to, revolutionize health research, and healthcare, with resulting improvements in health and wellness. As the cost of healthcare, the prevalence of chronic dis...

The widespread monitoring of electricity consumption due to increasingly pervasive deployment of networked sensors in urban environments has resulted in an unprecedentedly large volume of data being collected. To improve sustainability in Smart Grids, realtime data analytics challenges induced by high volume and high dimensional context-based data need to be addressed. Particularly, with the em...

Analytical computations over energy data are gaining popularity thanks to the growing adoption of smart electricity meters. Computations in this context range from seemingly straightforward tasks such as calculating monthly bills based on time-of-use pricing, to elaborate model building for predictions and recommendations in an effort to reduce peak demand. While research in this promising area...