The 4th International Conference on Sustainable Energy Information Technology (SEIT 2014)
June 2-5, 2014, Hasselt, Belgium
About MLDM-SE 2014
A Brief Introduction
This workshop aims at gathering researchers from the fields of machine learning, data mining to sustainable energy. Sustainable development across the globe demands that the share of sustainable energy in overall energy generation and consumption continues to grow. To this effect, numerous world-wide efforts have been initiated in last few decades. Many of these efforts can be helped by applying data analysis and prediction techniques from machine learning and data mining. In fact, there are a number of research groups world-wide that are investigating the use of machine learning and data mining techniques for applications in sustainable energy.
The new developments in this area raise many
research questions including interaction, security,
collaboration, context, discovery, and privacy of
physical things in the virtual world. Despite the
tremendous progress in Internet technologies the
research community continues to wrestle with some of
these questions. This workshop focuses on disseminating
novel ideas and research directions in this fast
emerging area of the sustainable energy. This workshop
also aims to bring together academics and practitioners
in an effort to highlight the state-of-the-art and
discuss the issues and opportunities to explore new
research directions and develop new ideas for the
sustainable energy. The workshop will be platform to
provide opportunities for researchers from academia and
industry to join hands, exchange ideas and focus on
solutions that will enhance the life of the growing
population on the Internet and otherwise for sustainable environments. It will lead to identifying
new directions and setting the scope for developments in
this area. The participants will be enlightened with
intellectual discussions, highlighting the advances in
technology that bridges the physical world and the
digital world.
Topics of Interest
The goal of MLDM-SE 2014 workshop is to bring together researchers who are exploring the use of machine learning and data mining to address various issues in the generation and utilization of sustainable energy to exchange ideas and share results. MLDM-SE 2014 invites a range of topics that provide contributions of machine learning and/or data mining applications to the following generic topics of sustainable energy include (but not limited to):
- Applications in Power Plants, Marine Renewable Energy, Systems and Fuel Cells
- Fault Diagnosis, Quality and Maintenance
- Green Sustainability
- Residential and Commercial Power Signature Analysis
- Sensing and Monitoring
- Smart Systems
- Systems Environmental
- Systems Management
- Systems Modeling
- Systems Performance and Optimization
- Wind and Solar Power Forecasting and Prediction
- Etc.