Examine –Extracting useful information out of data in AMI networking

The introduction of the Advanced Metering Infrastructure (AMI) in electricity networks implies the existence of large volumes of data, which, with appropriate processing, interpretation and use can enable functionality related with resource planning, adaptiveness and fault-tolerance in electricity networks. For example, it is envisioned that with the right information in-hand it can be possible to (i) raise early warnings and react in emergency situations, (ii) to aggregate power where/when needed, (iii) to help customers/components make scheduling decisions for improved use of electricity power, and more. With the increasing volumes of data implied, the possibilities and challenges go hand-in- hand; namely, processing the data to produce information that can enable the above possibilities is a main challenge, which requires competence and new research in processing, including parallel and distributed/collaborative computing methods. 

Participants

Marina Papatriantafilou (contact)

Docent vid Chalmers University of Technology, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Magnus Almgren

Docent vid Chalmers University of Technology, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Viktor Botev

Projektassistent vid Chalmers University of Technology, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Zhang Fu

Doktor vid Chalmers University of Technology, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Vincenzo Massimiliano Gulisano

Forskarassistent vid Chalmers University of Technology, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Olaf Landsiedel

Docent vid Chalmers University of Technology, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Funding

Göteborg Energi, Foundation for Research and Developmen

(Funding period missing)

Related Areas of Advance and Infrastructure

Information and Communication Technology

Areas of Advance

Sustainable development

Driving Forces

Energy

Areas of Advance

More information

Latest update

2018-02-01