EE1107 : Demand Response

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators. 

 

This course is designed to provide participants with a detailed and up-to-date overview of Demand Response. It covers the key drivers and motivations for implementing DR and the benefits of DR for utilities and consumers; the types of demand response programs, key components of DR systems, regulatory and market frameworks for DR and the role of smart grids in DR; the technological challenges and barriers and peak load fluctuations; the legal and regulatory obstacles, smart metering and advanced metering infrastructure (AMI); and the automated DR systems and communication technologies for DR. 

 

Further, the course will also discuss the role of energy storage systems in DR; the types of energy storage technologies and benefits of combining storage with DR for peak shaving; the demand-side management (DSM) and demand response; the tools and techniques for real-time demand forecasting; and the machine learning, predictive analytics for DR and data visualization and reporting. 

 

 

During this interactive course, participants will learn the designing of DR programs for different market segments; the customer enrollment and incentives, load forecasting and event management; the integration of DR with renewable energy sources; the technological solutions for DR coordination and legal, ethical and regulatory considerations; the virtual power plants (VPP) and demand response, DR in microgrids and dynamic pricing models; the role of artificial intelligence in DR optimization, blockchain in demand response, DR and grid stability and emerging trends in demand response; the DR and climate change mitigation, smart cities and demand response; and the future of utility-consumer relationships in DR.