Secretary, IEEE Joint Chapter of Power Electronics/Industrial Electronics/ Industry Applications Societies
The International Conference on Renewable Power Generation (RPG) is one of the IET's most successful international events, with the 8th edition will be held on 24 & 25 October 2019 in Shanghai, China.
Future power system will host significant amount of renewable generation inevitably. These energy resources are naturally undispatchable and unpredictable, and do not necessarily follow the load demand. Therefore, safe and secure operation of the future power system will require extra flexibility in real-time operation to compensate the varying generation. This will not be possible by large synchronous rotating machines, as they are slow, less economically efficient and polluting. In this regard, Demand Response Programs (DRP) are attracting a lot of attention. Preliminary studies on Demand Response (DR) resources in integrated energy systems have already projected incredible potential to act as flexibility resources for power systems operations. Nevertheless, there are still many questions and concerns related to DR resources involvement into the electricity and energy markets, which have to be properly addressed.
This Special Issue is an attempt to encourage researchers from different discipline to offer solutions and algorithms to effectively incorporate DR resources in electricity and energy markets. These include the conventional day-ahead and real-time wholesale markets as well as P2P electricity trading considering stochasticity, unpredictability, and non-linearity of the phenomenon. In this framework, physical and virtual energy storages and electric vehicles are also considered as DR resources. A special focus will be on how to model, forecast and control flexible resources in intelligent and integrated energy systems.
Student Member, 2007-2014 - Member, 2015-2019 - Senior Member, 2019-Present
The Research Data Science Winter School program is designed to teach and refresh all the basic concepts that programming depends on, and learn key considerations on working with data by engaging with experienced data scientists. The Research Data Science Winter School will feature sessions on: Open Science, 2 days of hands-on sessions by Software Carpentry on R programming; followed by 2 days of tutorial based sessions on Research Data Management, Research Computational Infrastructure and key considerations for managing, analysing and sharing your research data.