About the course
The electric grid is undergoing a dramatic change. The increasing adoption of renewable energy sources such as wind and solar, plus growing use of storage, electric vehicles, and smart devices, is generating new demands on the grid to manage intermittency and uncertainty. The rapidly decreasing cost of power electronics, communications and sensing are enabling widespread deployment of novel measurement and control devices.
System operators, utilities, and aggregators are now able to access vast amounts of real-time data to plan, monitor, and operate the grid. The digitization of the electric grid by leveraging the availability of massive data, inexpensive cloud computing, and rapidly evolving artificial intelligence, and machine learning to create new strategies to operate and plan the grid will result in a transformation of the ecosystem. This will lead to new marketplaces, pricing strategies, novel services, and opportunities for increased automation and autonomy.
The aim of this course is to introduce students to the modern electric grid and focuses on transforming technologies including
- Artificial intelligence (AI)
- Machine Learning (ML)
- Storage technologies
- Electric vehicles
- Renewable energy
What you will learn
- The history of the grid covering its evolution and future transformation
- The basic functioning of the grid and the flows of electric power, money, and information
- How to integrate renewables in future grids and the role of information
- Advantage of a variety of storage technologies to manage renewable energy intermittency to ensure reliance
- The growing and interactive role of prosumers as both energy consumers and providers
- The emergence of EV charging demand and managing its impact
- Pricing and rate models for storage and renewable scenarios
- AI and ML applications to learn consumer behavior and demand response, perform forecasting, improve network management and scalably determine asset locations
- Real local, national, and global AI and ML case studies
Ram Rajagopal is an Associate Professor of Civil and Environmental Engineering at Stanford University, where he directs the Stanford Sustainable Systems Lab (S3L), focused on large-scale monitoring, data analytics and stochastic control for infrastructure networks, in particular, power networks. ...
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Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.