2016 Special Session on Machine Learning in Energy Appliations

Energy is still one of the most important issues in the World under its various aspects: production and renewability, transport and distribution, management and quality. The recent researches and developments in the production of energy have been focused  on alternating and renewable sources as the fossil energy sources are reducing day by day. Therefore power system efficiency, power quality, renewable generation, growing number of interconnections, power exchanges among utilities, need for better improvements in energy and power system planning, operation and control have been very significant topics for the researchers. New challenges using the techniques such as pattern recognition, expert systems, artificial neural networks, fuzzy systems, evolutionary  programming, and other artificial intelligence methods and their hybrid combinations can significantly contribute to solve problems in energy systems. Especially,  advances in Machine Learning (ML) and recent web-based and mobile technologies provide new challenges in machine learning for energy applications.
The aim of this session is to provide a platform to present and discuss recent advancements on machine learning methods in energy and its applications.