Clean Energy Management in Smart Grids

What is the main goal for this project?
The goal of this project is to create a clean energy management system in smart grids using reinforcement learning. This will involve several steps including but not limited to:

• Researching existing Smart Grid Systems and Energy Management Systems.
• Developing a Reinforcement Learning algorithm to optimize energy management.
• Testing the developed algorithm and making improvements based on additional data.
• Optimizing the algorithm runtime performance and assessing areas for improvement.
• Researching other variables that can improve the quality of energy management.
• Accounting for additional variables in the Reinforcement Learning algorithm.

DUTIES AND RESPONSIBILITIES
By the end of the project:

• Understanding of existing smart grid systems and energy management systems.
• Understanding of variables that affect the quality of energy management.
• Identification of areas for future improvement of the algorithm.
• Testing the developed algorithm with users and accounting for additional parameters.

Final deliverables should include:

• All source code.
• A written report explaining the design process and outcomes.

SKILLS TO BE DEVELOPED
As part of doing this project, interns can expect to be upskilled on below:

• Energy Management systems, Reinforcement learning algorithms like Q-learning.
• Python, Machine learning.