[agents] [CFP] Special Issue on AI for Smart Grids in Advances in Building Energy Research Journal

[Sarvapali Ramchurn]

===============================================================================
                                Call for Papers
             Artificial Intelligence Techniques for the Smart Grid
         Special Issue of Advances in Building Energy Research journal
===============================================================================
 Guest Editors: Nick Bassiliades, Georgios Chalkiadakis, Sarvapali D. Ramchurn

Motivation
**********
The transition to a new generation of electricity networks, the so-called Smart
Grid, that will be able to make efficient use of renewable energy sources,
support real time and efficient demand response, as well as the large scale
deployment of electric vehicles (EVs) are vital should the climate change is to
be controlled. However, in order for such a transition to be successful, a
number of problems must be solved. Artificial intelligence (AI) and multi-agent
systems (MAS) techniques and methodologies can be instrumental in addressing
sustainability problems and questions, for example to increase the efficiency
and effectiveness of the way we manage and allocate our natural and societal
resources. This will also enrich and transform AI, by providing new challenges.
Moreover, the IEEE Intelligent System Applications subcommittee has recently
recognized the usefulness of Artificial Intelligence (AI) approaches in solving
key power system challenges. As such, an increasing number of publications in
leading AI and MAS conferences and journals address Smart Grid-related problems,
and a number of relevant workshops have already appeared in leading AI and MAS
conferences.

This special issue solicits state-of-the-art approaches, models, algorithms,
techniques, methodologies, systems, and applications in order to address
innovative problems in the field of AI and the Smart Grids, bringing together
research results from the AI, power systems and transportation communities.

Topics
******
Original contributions, not currently under review or accepted by another
journal, are solicited in relevant areas including (but not limited to) the
following:

* Intelligent agents and multiagent systems (for the Smart Grid)
* Machine learning
* Optimization
* Game theory
* Coalition formation and virtual power plants
* Agent-based simulation
* Aggregation frameworks and mechanism design
* Electricity markets and auctions
* Demand response
* Dynamic pricing
* Electric vehicles and transportation electrification
* Smart grids design
* Power-grid transmission and distribution management
* Smart buildings
* Advanced metering infrastructure/ smart meters
* Renewable energy sources - production and forecasting
* Load forecasting and price forecasting
* Generation, load, and price forecasting in deregulated markets
* Grid data analytics
* Data centers
* Non-intrusive load monitoring
* Internet of things

Submission Guidelines
*********************
Prospective authors should prepare manuscripts according to the Information for
Authors as published at
http://www.tandfonline.com/action/authorSubmission?journalCode=taer20&page=instructions.
The number of pages for the submitted papers are expected to be around 25. Note
that there are neither page charges nor color charges (for the online edition).
Manuscripts should be submitted through the online manuscript submission system
of the journal at https://mc.manuscriptcentral.com/taer.

Schedule
********
Deadline for paper submission: September 20, 2016
Completion of first review:    October 20, 2016
Minor/Major revision due:      November 30, 2016
Final decision notification:   December 10, 2016
Publication materials due:     January 15, 2017
Publication date (tentative):  March 2017

Guest Editors
*************
Nick Bassiliades
Aristotle University of Thessaloniki, Greece, nbassili at csd.auth.gr<mailto:nbassili at csd.auth.gr>
Georgios Chalkiadakis, Technical University of Crete, Greece, gehalk at intelligence.tuc.gr<mailto:gehalk at intelligence.tuc.gr>
Sarvapali D. Ramchurn, University of Southampton, United Kingdom, sdr1 at soton.ac.uk<mailto:sdr1 at soton.ac.uk>