search

sambaiga / MLCFCD

This package contains codes for the paper Multi-label Learning for Appliances Recognition in NILM using Fryze-Current Decomposition and Convolutional Neural Network
9 stars 2 forks source link

Are the .npy data files before or after pre-processing? #2

Open jayrmh opened 3 years ago

jayrmh commented 3 years ago

Greetings! I am doing a similar project, and I came across your amazing work on this topic. I would like to ask if the files under MLCFCD/data/lilac/ are from the original dataset or after you have performed the processing techniques (extraction of steady-state, zero-cross alignment etc.).

Thank you so much for your assistance on this matter, have a nice day.

Jayroop Ramesh Graduate Research Assistant, Smart Cities Initiative American University of Sharjah, United Arab Emirates

sambaiga commented 3 years ago

Hello, thank you for your interest in our paper. The lilac data is the pre-processed data. I will need to check what level of pre-processing I performed on the dataset. Anthony Faustine Senior Industrial Analytics Researcher,

Irish Manufacturing Research (Dublin, Ireland) https://imr.ie/.

PhD researcher (Técnico Lisboa, Portugal https://tecnico.ulisboa.pt/en/).

On Tue, 24 Aug 2021 at 10:47, Jayroop @.***> wrote:

Greetings! I am doing a similar project, and I came across your amazing work on this topic. I would like to ask if the files under MLCFCD/data/lilac/ are from the original dataset or after you have performed the processing techniques (extraction of steady-state, zero-cross alignment etc.).

Thank you so much for your assistance on this matter, have a nice day.

Jayroop Ramesh Graduate Research Assistant, Smart Cities Initiative American University of Sharjah, United Arab Emirates

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/sambaiga/MLCFCD/issues/2, or unsubscribe https://github.com/notifications/unsubscribe-auth/AACSUCGPZOHZILTPH3Z5P3LT6NTDLANCNFSM5CWOTPBA . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&utm_campaign=notification-email .