yueeeeeeee / bert4nilm

[NILM@SenSys 2020] PyTorch Implementation of BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring

Hey there!

• 👋 Hi, I’m Zhenrui Yue
• 📫 I’m a 3rd year PhD candidate at UIUC
• 👀 I’m broadly interested in LLM, RecSys & IR research
• 💼 Student Researcher @Google Deepmind, Previously @NVIDIA @ETH @UCSD @TUM
• 🌱 Check out some of my recent publications and implementation below:)

bert4nilm's Issues

the results curve of test

Hello.How to plot the energy consumption cueve of test results using Python?

Does i t need to fine-tune ?

the bert is pre-train , so it need to fine-tune after ?

Regarding the min_on and min_off duration

Hi @Yueeeeeeee ,

I have one doubt regarding the minimum on and minimum off duration that you have used in the utils.py. I believe it is the total num of points that is in minimum on and off duration right and it will depend in sampling rate can you please help me with this.
Also i am trying out the same model for dataport dataset with sampling=15min, can you please help me how i decide the lambda parameter for appliance like.. air conditioner and fridge as well as minimum on and off duration..