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Simple, fast and handy data loaders for NILM datasets to explore the data at convenience, provided with basic transformations like resampling, normalization and extract activities by thresholding.

License: MIT License

Python 100.00%

nilm non-intrusive-load-monitoring python

nilm_analyzer's Introduction

Mahnoor Shahid

Research Associate at University Duisberg Essen | PhD Student

Focused on transfer learning and domain adaptation techniques in NILM and quantitaively evaluating model generalization by estimating domain discrepancy.

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slzhang-git jasonconnor2 gomez50 elisejiuqizhang andreanvictor6374 mackjackenna freewillkep

nilm_analyzer's Issues

Error on labels in house 15

There is a problem with the names of the appliances in house 15 on REFIT database. House 15 doesn't contain audio system but a kettle

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