Intelligent energy management is key to integrate renewable energy systems into the electrical grid. Photovoltaics as generators and electrical batteries as storage are the main components for this.
This project will investigate PV-battery energy management using reinforcement learning. We have developed in-house code for RL and battery as well as electricity demand (www.citylearn.net). PV systems can be simulated using available libraries.
We are looking for a CS/EE/ECE student who is interested in exploring this area with great potential. If successful, the results might be implemented in a real life environment.
Python coding is a must
C/C++ is helpful
Knowledge in PV systems is beneficial but not necessary
Knowledge in machine learning and reinforcement learning is beneficial
Simulate PV systems using PVLIB in Python
Simulate battery systems in Python
Integrate building electricity demand simulation with PV & battery
Integrate control algorithm
