CFP: AAAI Workshop on AI for Smart Grids and Smart Buildings (AISGSB 17)

[Enrico Pontelli]

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2nd International Workshop on AI for Smart Grids and Smart Buildings
(AISGSB17)
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February 4 or 5, 2017

Held in conjunction with AAAI 2017
San Francisco, California, USA

http://www.cs.nmsu.edu/aisgsb17

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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 6 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). 

All submissions are conducted via the following website: 
http://www.easychair.org/conferences/?conf=aisgsb2017. 
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 2017 technical program. The deadline for receipt of 
submissions is October 21, 2016. 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 21, 2016 - Submission Deadline
 * November 18, 2016 - Acceptance Notification
 * December 8, 2016 - Camera-Ready Deadline
 * February 4 or 5, 2017 - Workshop Date 



Organizing Committee:

Rodney Martin, NASA Ames Research Center
Enrico Pontelli, New Mexico State University 
Son Cao Tran, New Mexico State University 
Long Tran-Thanh, University of Southampton 

Contact Information:
aisgsb2017 at easychair.org