[agents] IEEE CEC 2017: International Workshop on Computational Energy Management in Smart Grids (CEMiSG 2017)

[Filipe Saraiva]

(We apologize in advance if you receive multiple copies of this CFP)
(Please distribute to anyone interested; Thank you)


The 4th International Workshop on Computational Energy Management in
Smart Grids (CEMiSG 2017) will be held on June 5–8, 2017,  in San
Sebastian, Spain as inside the IEEE Congress on Evolutionary Computation
(IEEE CEC 2017).

The Workshop is oriented to explore the new frontiers and challenges
within the Computational Intelligence research area for the optimal
usage and management of energy resources in Smart Grid applicative
scenarios. The Workshop will be a proficient discussion table within the
IEEE CEC 2017 conference, which attracts the most famous researchers in
the Computational Intelligence field worldwide.

The paper submission deadline is January 16, 2017.

Website: <http://www.cemisg.org/>

Call for Papers in PDF:
<http://a3lab.dibet.univpm.it/webdav/CfPs/CEMiSG2017%20-%20Call%20for%20Papers.pdf>



SCOPE

The sustainable usage of energy resources is actually an issue that
humanity and technology have been seriously facing in the last decade,
as a consequence of the increasing energy demand and the dependence on
oil-based fuels. This shoved scientists and technicians worldwide to
intensify their studies on renewable energy resources, especially in the
Electrical Energy sector. At the same time, a remarkable increment in
complexity of the electrical grid has been also registered, due to the
need of integrating variegated and distributed generation and storage
sites, resulting in strong engineering challenges in terms of energy
distribution, management and system maintenance. Many sophisticated
algorithms and systems aimed at introducing intelligence within the
electrical energy grid have already appeared in the recent scientific
literature, accompanied by some effective market products.

The different needs coming from heterogeneous grid customers, at diverse
operating levels, and the different peculiarities of energy sources to
be included in the grid itself, make the task challenging and
multi-faceted. Moreover, a large variety of interventions can be applied
into the grid to increase the inherent degree of automation, optimal
functioning, security and reliability. All these aspects must be seen
from the raising Energy Internet perspective, according to which
advanced ICT solutions are employed to coordinate and optimize the
complex interactions between producers and consumers on distributed
energy networks.

In the light of this analysis, a multi-disciplinary coordinated action
is therefore required to the Electrical and Electronic Engineering,
Computational Intelligence, Digital Signal Processing and
Telecommunications scientific communities, taking the stringent
environmental sustainability constraints into account. Focalizing to the
interests of our scientific community, the organizers of this Workshop
wants to explore the new frontiers and challenges within the
Computational Intelligence research area, including Evolutionary
Computation based solutions, for the optimal usage and management of
energy resources in Smart Grid scenarios. Indeed, the adoption of
distributed sensor networks in many grid contexts enabled the
availability of data to be used to develop suitable expert systems with
the aim of supporting the humans in dealing with the complex problems in
grid management, as mentioned above. Research in this field is
undoubtedly already florid, but many open issues need to be addressed
and innovative intelligent systems investigated.

By moving from the success obtained by the CEMiSG2014 Workshop organized
within the IJCNN2014 conference in Beijing (China), by the CEMiSG2015
Workshop organized within the IJCNN2015 conference in Killarney
(Ireland), and by the CEMiSG2016 Workshop organized within the IEEE
CEC2016, the intention is to propose a new proficient discussion table
for scientists joining the IEEE CEC 2017 conference: a fourth
International Workshop, specifically targeted to these topics surely
represents a great opportunity from this perspective.



TOPICS

Workshop topics include, but are not limited to:

    Computational Intelligence for Smart Grids Applications
    Evolutionary Algorithms for Complex Energy Systems
    Soft Computing based Algorithms in Energy Applications
    Expert Systems for Smart Grid Optimization
    Computational methods for the Energy Internet
    Smart Grids and Big Data
    Automatic Fault Detection Algorithms in Smart Grid scenarios
    Smart Grid Self-Healing strategies
    Learning-based Control of Renewable Energy Generators
    Smart Building Energy Management
    Deep Learning for Energy Efficiency
    Energy Resource Allocation and Task Scheduling
    Short/Long-term Load Forecasting
    Demand-side Management
    Learning Systems for Smart AMIs
    Time Series Prediction in Smart Grids
    Non-Intrusive Load Monitoring
    Hybrid Battery Management
    Algorithms for Electric Vehicles Integration in the Smart Grid



SUBMISSION GUIDELINES

Prospective authors are invited to submit papers according to the
specifications of IEEE CEC 2017. Manuscripts will be submitted through the
IEEE CEC 2017 paper submission website and will be subject to the same
peer-review review procedure as the IEEE CEC 2017 regular papers.
Accepted contributions will be part of the IEEE CEC conference proceedings.

Note that the paper submission deadline is January 16, 2017.



-- 
Filipe de Oliveira Saraiva
http://filipesaraiva.info/

Universidade Federal do Pará
Instituto de Ciências Exatas e Naturais
Faculdade de Computação

Rua Augusto Corrêa 01, Guamá
CEP 66075-110 Belém - Pará - Brasil