SPECIAL SESSION ORGANIZER

Renewable Energy Integration in Smart Grids: Tools for Short Time Prediction and Management

Dr. Ted Soubdhan
Université Antilles Guyane, France

Abstract

The proposed session is dedicated to the research community in the field of renewable energy resource prediction and production management.
Prediction of renewable energy resource has become of major interest since the short-term variability of these resources is perceived as a roadblock to the large scale deployment of renewable energy power system and their integration in smart grids.
Prediction is of the utmost importance for scheduling applications and storage of renewable energy power system. This issue is the subject of several major research initiatives in the international research community.
This session will offer to this community a space to share and exchange on this topic.

Biography of the Special Session Organizer

Dr Ted SOUBDHAN is assistant professor at the University Antilles Guyane (French).
He is assistant Director of the Physic Departement of the University. He works on field such as short time prediction of renewable energy resource and management of their production.
The aim of this research is to improve the integration of high volatility energy systems in smart grids.

Submissions

Please email all submissions to ted.soubdhan@univ-ag.fr by January 16, 2012. Authors MUST include their full contact information in the email.