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OdysseasKr
Code for the experiments in "Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks"
Hello, I used the code in GRUWithWindow (unchanged) to train on the UK-DALE data set for 20 epochs. The results on the test set and train set are as follows....
Hello, I used the code in GRUWithWindow (unchanged) to train on the UK-DALE data set for 20 epochs. The results on the test set and train set are as follows....
Hi, sir Thanks for your awesome work, but I have a question. -What is the meaning of parameters for state detect, how did you used it? If just It look...
Hi @OdysseasKr The precision and F1 Score of Kettle is keep nan all the time. result as following: ============ Recall: 0.0 ============ Precision: nan ============ Accuracy: 0.9962920046349942 ============ F1 Score:...
Hi, @OdysseasKr Thanks for your nice paper and reply, it make me learn a lot! I have some question as following: 1. What is the meaning of online(real-time)application? As long...
Hi, @OdysseasKr Thanks for your work. gen_batch(chunk.iloc[:,1], chunk.iloc[:,0], chunk.shape[0]-window_size, 0, window_size) in gen.py. Why not chunk.shape[0]-window_size+1? ex: batch size: 5, window_size = 2, the number of sliding windows should be...
after python experiment.py is done,how can i use this model, if i get a new dataset, how i use this model to predict
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Code for the experiments in "Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks"