Many countries set aggressive goals to reduce greenhouse gas emissions, and renewable energy production has increased exponentially as a result. Yet renewable energies are extremely variable, making it hard to predict how much power they will produce at a given time. Smart grids counteract variability by providing more accurate information, refined control and tighter feedback.
This course teaches the fundamental components of smart grids including sensing, data analytics and control.
You Will Learn
Basics of power networks
Cost-effective measurements to improve grid performance
Models for forecasting energy supply and demand
Practices for managing renewable energy resources
Processes to analyze usage and optimize grids
Ram Rajagopal, Assistant Professor of Civil and Environmental Engineering, Stanford University