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Software developer and open source proponent Jeff Geerling recently purchased a new Bosch 500 dishwasher, only to find it required an app to access certain features. This is his story.

  • @[email protected]
    0•26 days ago

    https://www.sciencedirect.com/science/article/abs/pii/S2352467719300748

    TL;DR: Math

    Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households […] Our method is implemented as an algorithm combining NILM and load profile simulation. This algorithm, based on a Markov model, allocates an activity chain to each inhabitant of the household, deduces from the whole-house power measurement and statistical data the appliance usage, generate the power profile accordingly and finally returns the share of energy consumed by each appliance category over time.

    • @[email protected]English
      0•25 days ago

      TL;DR, it’s not nearly as granular as you suggest:

      https://ars.els-cdn.com/content/image/1-s2.0-S2352467719300748-fx1_lrg.jpg

      They can generally characterize the probability that the load is for certain things, but they can’t say that your power consumption is because you’re using a vacuum cleaner and 7 LED bulbs. They estimate the percentage of your overall consumption that is used by certain things. It’s not the same as feeding a LLM a few cat pictures and getting it to identify a cat.