WORKSHOP ON DATA MINING FOR ENERGY MODELING AND OPTIMATION (DaMEMO'2016)

December 12,2016

Barcelona, Spain

Call For Papers

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 using data mining techniques to tackle the significant energy challenges we are faced with nowadays in energy modelling, analysis and conservation, for instance:

Topics of Interest

• 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

IMPORTANT DATES

Submission deadline: August 12, 2016

Notification Due:September 13, 2016

Final Version Due:September 20, 2017

User Name : sidra
Posted 22-07-2016 on 16:58:31 AEDT

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