PMAPS2016_Registration_Guidance (Right click link, save to local hard driver for details)
Welcome from Co-Chairs
On behalf of the Organizing Committee, it is our great pleasure to welcome you to attend the 14th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2016), which is jointly organized by Tsinghua University and Chongqing University in China. The PMAPS 2016 will be held in Beijing, October 16-20, 2016.
The theme of the PMAPS 2016 is “Shaping the Future of Probabilistic Applications”. The conference received over 200 papers from 35 countries. The experts in the PMAPS fields across the world will attend the conference. The plenary session, invited paper sessions, panel sessions and 42 regular paper sessions will provide a platform for the attendees to demonstrate their achievements and exchange their ideas. We will also organize a whole day’s tutorial on October 16, 2016, which will benefit those who want to acquire basic and advanced knowledge in power system reliability. We are pleased to see that a considerable number of students from different countries have expressed their great interests in the PMAPS fields. Half of the papers are submitted by students. To acknowledge and encourage the excellence of students in the areas of probabilistic methods applied to power systems, the “Best Student Paper Awards” are established at the 2016 PMAPS conference. Young researchers and engineers are the future of PMAPS.
Your attendance will not only help you acquire useful information, meet old friends and establish new networks, but also enhance the success of the conference. A technical tour to a big microgrid project site and a Great Wall tour will give you long time lasting memories. We believe that the PMAPS 2016 will be your unforgettable and pleasant experience.
We are looking forward to seeing you in beautiful Beijing, the capital of China, October 16-20, 2016.
Wenyuan Li (Chongqing University)
Lin Cheng (Tsinghua University)
Co-chairs of the 14th International Conference on Probabilistic Methods Applied to Power Systems