Connectionists: CFP: ICDM Workshop on Energy Modeling and Optimization

[Jeremiah Deng]

Workshop on Energy Modeling and Optimization (DaMEMO’16)
at IEEE ICDM Barcelona, December 12, 2016
http://www.covic.otago.ac.nz/DaMEMO16/ <http://www.covic.otago.ac.nz/DaMEMO16/>

* Call for Papers *
We kindly invite you to submit your contributions to the workshop to be held in Barcelona, in conjunction with ICDM’16.

This workshop aims at addressing the ample opportunities of using data mining techniques to tackle the significant energy challenges we are faced with nowadays in energy modelling, analysis and conservation, for instance:
The rising awareness of sustainability and environmental preservation has contributed to a boom in renewable energies such as solar and wind power whose intermittency and dynamics need to be harnessed systematically.
A large amount of data from smart meters is being collected and there is a need to understand usage patterns of customers and plan changes and incentives to optimise the electricity usage, ensuring reliable supple at a minimum cost.
The increasing use and reliance on digital technologies have contribute to the proliferation of electrical and electronic equipment, devices, phones and sensors which all consume energy constantly.
While aggregating computing power, the popularization of cloud computing has led to the colossal energy consumption in data centres, much of which can be adaptively planned and reduced.

We welcome researchers from data mining, forecasting, energy and power engineering and other disciplines to join together and explore the utilization of data mining techniques to develop intelligent solutions for energy related modelling and optimization problems.
Topics of interest to the workshop include, but are not limited to:
Time series prediction of energy related time series
Renewable energy (solar, wind, ocean, etc.) modelling and prediction
Electricity consumption prediction
Electricity price modelling and prediction for energy markets
Smart meters and usage patterns data analysis
Energy conservation in smart homes
Energy efficient compressed sensing
Smart grid data analysis
Outage and risk prediction
Spatial-temporal energy data mining
Feature extraction and selection in energy data
Anomaly detection in energy data
Algorithms for real-time analysis of energy data
Kinetic energy modelling
Optimized self-organization of micro-grids
Energy-optimized cloud computing
Distributed data mining on sensor networks
Please follow the paper submission instructions to prepare your submission and submit it through the ICDM CyberChair system. All submitted papers will go through a triple-blind review process by the program committee. The workshop proceedings will be published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library.

Workshop Co-Chairs
- Jeremiah Deng, University of Otago, New Zealand
- Irena Koprinska, University of Sydney, Australia
- Alicia Troncoso, Pablo de Olavide University, Spain


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Jeremiah Deng										
Associate Professor
Department of Information Science 
University of Otago							Web: www.covic.otago.ac.nz/~jdeng/ <http://www.covic.otago.ac.nz/~jdeng/> 
PO Box 56, Dunedin 9054					Email: jeremiah.deng at otago.ac.nz
New Zealand								Tel: +64 3 479 8090   Fax: ~8311

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