Research on Machine Learning applications in Smart Grid & Microgrids

Smart grids and microgrids are the future of the power system we use today. Integrating the power systems with communication devices and adding a data layer has its perks for power system operators as well as the consumers.

This novel power system will generate enormous amounts of data with its maturity. As researchers, it is quite fascinating for us since this means that we get to combine two disciplines, Machine Learning & Power Systems.

In this blog post, I will list all the possible applications that I come across of machine learning in power systems.

Update: I will start to categorize them into,

Microgrid research
Energy forecasting
Smart grid research

Microgrid research

Multi-agent systems for microgrid control [link]
Reinforcement learning for microgrid energy management
Detect security breaches
Fault detection and classification
Microgrid islanding detection
Multi-agent reinforcement learning for microgrid control

Energy forecasting research

Solar energy forecasting / Solar irradiation forecasting
Power system demand forecasting

Smart grid research

Detect security breaches
Fault detection and classification
Data compression in smart grids [link]

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