Abbrevation
DACS
City
Athens
Deadline Paper
Start Date
End Date
Abstract

A wealth of unexplored knowledge exists in the power data collected<br>from smart meters and smart plugs (i&#046;e&#046;, metering equipment for<br>individual wall outlets)&#046; Analysis of the data may be used to provide<br>context&#8211;based services (e&#046;g&#046;, presence detection), but also serve as<br>the foundation for novel services (e&#046;g&#046; automated recommendations for<br>energy savings)&#046; To date, the potential of this domain has barely been<br>explored, although more and more energy data is becoming available due<br>to the increasing number of deployed smart metering equipment&#046; At the<br>moment, one of the most important research challenges in smart energy<br>systems is thus the creation of value&#8211;added services that exploit the<br>information content in energy generation and consumption data in such<br>a way that they can inspire new functionalities and context models&#046;<br>The aim of this workshop is thus to bring together practitioners and<br>researchers from both academia and industry in order to have a forum<br>for discussion and technical presentations on the recent advances in<br>the numerous opportunities opened up by the use of energy data in<br>context&#8211;aware systems&#046; It furthermore serves as a forum for the smart<br>energy research community to discuss open issues, novel solutions and<br>the future development of smart energy management systems in general&#046;<br> <br>Topics of interest include, but are not limited to:<br>&#8211; Novel architectures for the integration of smart meter/smart plugs<br>into pervasive computing systems<br>&#8211; Seamless energy meter integration in the design and architecture of<br>smart home/office spaces<br>&#8211; Applications relying on energy data including, for instance,<br>energy optimization and sustainable operation of smart<br>cities, household load disaggregation, generation and load<br>forecasting, and other means for informed load shifting<br>&#8211; Novel business models relying on energy data<br>&#8211; Collection, processing, and integration of energy data to improve<br>the control over loads and generation (e&#046;g&#046;, distributed renewable<br>sources)<br>&#8211; Security and privacy considerations in smart energy metering,<br>including novel means to mitigate privacy and security threats<br>&#8211; Experiences with experimental power metering system prototypes and pilots<br>&#8211; Power metering testbeds and data sets for the comparison of<br>household characteristics and processing approaches in a globalized<br>world<br>&#8211; Industrial use cases showing gaps to be filled by future research<br>