Testbed and Dataset for Machine Learning Applications in Power Systems
Z. Wang, J-Y. Joo
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PES
IEEE Members: $25.00
Non-members: $40.00Pages/Slides: 33
The availability of high quality and publicly available datasets such as ImageNet and MNIST greatly accelerated the development of computer vision technologies. Similarly, Gym is essential in the advancement of reinforcement learning algorithms. In this panel session, we will be introducing publicly available datasets and testbed that are tailored for machine learning applications in both power distribution systems and transmission systems. We hope these publicly available dataset and testbed make it easier for researchers to validate and compare their proposed machine learning algorithms in power systems.
Chairs:
Nanpeng Yu
Primary Committee:
Power System Operation, Planning, and Economics (PSOPE)
Sponsor Committees:
Distribution System Operation and Planning Subcommittee