EXTENDED DEADLINE - EXTENDED DEADLINE ==================================================================== 2nd International Workshop on AI for Smart Grids and Smart Buildings (AISGSB17) ==================================================================== February 4 or 5, 2017 Held in conjunction with AAAI 2017 San Francisco, California, USA http://www.cs.nmsu.edu/aisgsb17 ===================================================================== Call for Papers ===================================================================== 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: * November 12, 2016 - Submission Deadline [EXTENDED] * 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@easychair.org