[agents] CfP 3rd International Workshop on AI for Smart Grids and Smart Buildings (AISGSB18) @AAAI 2018

[Long Tran-Thanh]

<Apologies for cross-posting>
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3rd International Workshop on AI for Smart Grids and Smart Buildings
(AISGSB18)
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February 2, 2018

Held in conjunction with AAAI 2018
New Orleans, Louisiana, USA

http://www.cs.nmsu.edu/aisgsb18 <http://www.cs.nmsu.edu/aisgsb18>

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Call for Papers
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Workshop Description and Motivation:

The availability of advanced sensing and communication infrastructures, 
electric monitoring facilities, computational intelligence, widespread 
use and interest in renewable energy sources, and customer-driven electricity 
usage, storage and generation capabilities, have posed the foundations for a 
robust and dynamic next generation economic interplay between the demand-side: 
smart buildings, and the supply-side: smart power grids. Three key aspects 
distinguish this evolving economy from more traditional market forces: 
(1) Information: both energy producers and consumers have access to information 
(e.g., production costs, customers’ electricity needs, time distribution of demands); 
(2) Exchange: communication is possible on a continuous basis, thus enabling both 
individual as well as group decision processes (e.g., producers and consumers can 
negotiate prices and energy exchanges); (3) energy can be produced not only by power 
plants, but also by customers (e.g., via solar panels) and stored for later use 
(or redistributed through the electric grid), and (4) given all of the above, 
customers can employ advanced tactical measures for improving building operations 
and reducing energy consumption without sacrificing occupant satisfaction, which 
has direct economic implications for producers.

In general terms, a smart grid enables the distributed generation and two-directional 
flow of electricity and information, within an integrated system of connected smart 
buildings as key agents within this new ecosystem.

AI plays a key role in the relationship between the smart grid and smart buildings. 
New technologies offer infrastructure that provides information to support automated 
decision making on how to (automatically) adapt production/consumption, optimize 
costs, waste, and environmental impact, and provide reliability, safety, security, 
and efficiency. Indeed, several research projects have already developed the view of 
this ecosystem as a multi-agent system, where agents coordinate and negotiate to 
achieve smart grid and smart building objectives.

The goal of this workshop is to bring together researchers and practitioners from 
diverse areas of AI to explore both established and novel applications of AI 
techniques to address problems related to the design, implementation, deployment, 
and maintenance of both smart buildings and the smart grid – either as independent 
topics or together in an overarching multi-agent system. Topics include, but are 
not limited to:

 * Distributed decision making and distributed optimization
 * Agents and multi-agent applications in smart grids
 * Data analytics and machine learning techniques applied to smart buildings, 
   grids and energy management
 * Advanced machine learning techniques used to improve building maintenance 
   and operations and reduce energy consumption without sacrificing occupant  
   satisfaction
 * Novel information and sensing technologies that can be used to enable the   
   deployment of advanced machine learning and data mining techniques within 
   the built environment
 * Knowledge-based methods in design of smart buildings and smart grids
 * Coordination of intelligent agents in smart grids
 * Negotiation and trading strategies in energy markets 
 * Human-computer interactions and human-in-the-loop systems within smart grids
 * Simulations of energy markets and smart grids

Workshop Format:

The workshop is expected to be a full-day event. It will include three 
components: 
(1) one invited keynote speaker, selected among leading researchers 
    exploring the advanced use of AI techniques to address practical 
	issues of smart grids and smart buildings; 
(2) a collection of presentations selected from peer-reviewed submissions, 
    in response to an open call for papers; (3) a closing panel, including 
	both invited panelist and workshop participants, to discuss future 
	directions of research in this field.

Submission Guidelines:

Participants should submit a paper (maximum 7 pages + 1 page of references), 
describing their work on one or more of the topics relevant to the workshop. 
Accepted papers will be presented during the workshop and will be published 
as AAAI technical reports, which will be made freely available in AAAI's digital 
library.  

Authors are requested to prepare their papers using the AAAI style files 
(http://www.aaai.org/Publications/Templates/AuthorKit.zip <http://www.aaai.org/Publications/Templates/AuthorKit.zip>). 

All submissions are conducted via the following website: 
http://www.easychair.org/conferences/?conf=aisgsb2018 <http://www.easychair.org/conferences/?conf=aisgsb2018>. 

Submissions should include the name(s), affiliations, and email addresses of 
all authors in the body of the email. We welcome the submission of papers 
rejected from the AAAI 2018 technical program. The deadline for receipt of 
submissions is October 13, 2017. Papers received after this date may not be 
reviewed.

Submissions will be refereed on the basis of technical quality, novelty, 
significance, and clarity. Each submission will be thoroughly reviewed by at 
least two program committee members. 

For questions about the submission process, contact the workshop co-chairs.

Important Dates:

 * October 13, 2017 - Submission Deadline
 * November 9, 2017 - Acceptance Notification
 * November 21, 2017 - Camera-Ready Deadline
 * February 2 or 3, 2018 - Workshop Date 

Organizing Committee:

Chris Kiekintveld, University of Texas at El Paso
Rodney Martin, NASA Ames Research Center
Mischa Schmidt, NEC Laboratories Europe
Son Cao Tran, New Mexico State University
Long Tran-Thanh, University of Southampton


Contact Information:
aisgsb2018 at easychair.org <mailto:aisgsb2018 at easychair.org>

	
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Dr. Long Tran-Thanh
Lecturer
--
Agents, Interaction, and Complexity Group,
Electronics and Computer Science,
University of Southampton, SO17 1BJ
--
http://users.ecs.soton.ac.uk/ltt08r <http://users.ecs.soton.ac.uk/ltt08r>
tel: +44 (0) 2380593715
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