68 lines
1.4 KiB
Markdown
68 lines
1.4 KiB
Markdown
---
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id:
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aliases: []
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tags:
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- destiny/fleeting
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- topic/construction/electrical
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- topic/estimating
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- type/idea
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- authorship/original
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title: Stochastic Branch Takeoff
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---
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# Stochastic Branch Takeoff
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generate a BOM from point loads distributed in a space.
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```yaml
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- x: 302.84
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y: 2364.47
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kW: 5.3
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voltage: 277
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phases: 1
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...
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```
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determine relative impact of factors
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* allowable voltage drop
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## Methods
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> [!cite] Reddit u/mightofmerchants
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> ![[spatial-sampling.gif|300x300]]
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* Poisson disc sampling
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* Delunay triangulation
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* Voronoi diagrams
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<!-- TODO: link paper on procedural generation of single family homes -->
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## Average Distance Given Area
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Holding area constant,
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average taxicab distance between points
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varies greatly with the aspect ratio of the space.
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Weighted by a probability distribution
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an average length and confidence could be given for any known area.
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I remember seeing a video on machine learning(?)
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that described a class of functions(?)
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used to change(?) a function with infinite range.
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Something like this:
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![[function-example.excalidraw.md]]
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$f'(x)$ is a **sigmoid** function.
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This is preferable to a floor-ceiling piece-wise function
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since it remains differentiable.
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Maybe suckerpinch's latest video on the Rupert property
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or 3blue1brown's on Euler's Formula.
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Actually I think its neither of those,
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but a more general ML video by another creator
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that used mango cultivar classification by dimensions
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as an example.
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