Connectionists: Last CfPs - IEEE ICDM'16 Workshop on Data Mining for Energy Modeling and Optimization

[Jeremiah Deng]

IEEE ICDM'16 Workshop on Data Mining for Energy Modeling and Optimization
(DaMEMO'16) December 9, 2016, Barcelona, Spain 
http://www.covic.otago.ac.nz/DaMEMO16/ <http://www.covic.otago.ac.nz/DaMEMO16/> 

					LAST CALL FOR PAPERS
					====================

Final submission deadline: 26/8/2016

Machine learning and data mining techniques have been successfully applied in domains such 
as social media, e-commerce, health informatics, natural language processing and computer 
vision. There are ample opportunities for utilizing data mining techniques to tackle the 
significant energy challenges we are faced with nowadays in energy modelling, analysis and 
conservation. 

This workshop aims at bringing researchers from machine learning, forecasting, energy and power 
engineering and other disciplines to explore the utilization of cutting-edge data mining 
techniques to develop intelligent solutions for energy related modeling 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 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.




~~~~
Jeremiah Deng										
Associate Professor
Dept. of Information Science 
University of Otago							Email: jeremiah.deng at otago.ac.nz
PO Box 56, Dunedin 9054, New Zealand		Tel: +64 3 479 8090   Fax: ~8311

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20160819/d5a41494/attachment.html>