We are pleased to announce an upcoming webinar hosted by IEEE Smart Grid, titled “Artificial Intelligence and Machine Learning for Demand-Side Response” presented by Ioannis Antonopoulos, Benoit Couraud and Valentin Robu of the Smart Systems Group.
This event will be held Thursday, September 17, 2020 – 11:00am EDT
In the recent years, there has been a growing interest for the use of Distributed Demand-Side-Response (DDSR) to regulate the power system. DDSR consists in the coordination of distributed loads such as industrial, commercial and recently residential end-users to contribute to electricity suppliers’ portfolio balance or frequency regulation. The integration of commercial and residential end-users into DDSR comes with the need for Big Data Analysis and Artificial Intelligence (AI) solutions to optimize the contribution of these distributed assets. In this webinar, we describe what the key challenges of DDSR are, and how AI and Machine Learning (ML) solutions can address these challenges. Based on a recent review of research works and industrial projects, we will detail the principles of the most relevant AI techniques and will explain how they are used in the context of DDSR. Finally, we discuss a number of directions for future research in this area.
Click here to register with the IEEE host website
Who should attend:
- Engineers and Researchers in demand-side response and demand-side management
- Practitioners working in the power industry, such as network operators, regulators and in providing demand response and aggregation services
- Researchers working in data analytics, AI and machine learning for power systems, with an interest in demand response
- Innovative energy start-ups entering this fast-developing field
We look forward to engaging with you!
