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ZhangRaymond avatar ZhangRaymond commented on September 28, 2024 1

Hi, Aleonnet,
thanks for your issue. A conference paper about this approach is on the way. Actually, from the perspective of application, the performance of DNN-based approaches in the existing researches is quite close.
As for the real time disaggregation, I think Raspberry's computing power should cover this approach of such size. And I'm sorry that I haven't tested it on any mobile platform(including Raspberry pi). You can test it. I'm also looking forward to your test.

Several related papers maybe useful for you:

Sequence-to-point learning with neural networks for nonintrusive load monitoring

Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks

Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements

Good Luck!

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ZhangRaymond avatar ZhangRaymond commented on September 28, 2024 1

a

Hi, Aleonnet,
I replied you on an e-mail client, not on github, maybe you can not see the attached image on github.
Here you can have a try.

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aleonnet avatar aleonnet commented on September 28, 2024

Hi @ZhangRaymond
I'm trying to check some results. How do you generate pickle per house?

FileNotFoundError: [Errno 2] No such file or directory: 'data/house_2.pickle'

Thanks!

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ZhangRaymond avatar ZhangRaymond commented on September 28, 2024

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aleonnet avatar aleonnet commented on September 28, 2024

Hi Zhang,
What do you mean by "I attached an inner structure image of house_{}.pickle for you"?
There's nothing attached...

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