Commit 7e0ec65a authored by Ibrahim Ahmed's avatar Ibrahim Ahmed
Browse files

misc: Updated docs, dependencies

parent a8ff1ad2

dev.yml

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@@ -11,6 +11,9 @@ dependencies: 
  - jupyter_contrib_nbextensions

  - tqdm

  - scikit-learn

  - pytorch::pytorch=1.8

  - cudatoolkit=10.2

  - tslearn

  - dash=1.17.0

  - pip

  - pip:
@@ -18,4 +21,3 @@ dependencies: 
    - ipyvolume

    - gym

    - git+https://git.isis.vanderbilt.edu/SmartBuildings/bdx.git@v0.2.5
 
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    - dash==1.17.0
 
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docs/ESB-Controller-Notes.md

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---

title: 'ESB Controller Notes'

order: 1000

hasequations: false

---



## Periods



    2021-03-09 0845-6   System starts reading setpoint, but setpoint is stale

    2021-03-09 0730-6   Controller script restarted, setpoint static

    2021-03-11 1100-6   Controller script restarted, setpoint starts varying

    2021-03-15 1415-5   New version, setpoint capped on top to TempCondOut

    2021-03-18 1220-5   Switched from Chiller 2 to Chiller 1

    2021-03-26 1010-5   Switched from Chiller 1 to Chiller 2



## Timespans to investigate



    2021-03-12 0840-6   2021-03-12 1740-6   Fans on 100%, chiller power smooth

    2021-03-15 1500-5   2021-03-15 1800-5   Fans on 100%, chiller power smooth

docs/datasets/v1/dataset.md

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@@ -184,6 +184,8 @@ Each cooling tower/chiller system has the following parameters: 


19. `FreqFanB`: Spinning rate of fan B in Hertz.



20. `Tonnage`: Cooling load on chiller (tons).



And the following derived fields:



1. `PowIn`: Total input power calculated as a sum of all power fields.

docs/datasets/v2/dataset.md

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@@ -10,12 +10,13 @@ The v2 dataset is created by downloading trends created in the BuildingLogiX Dat 
2. 2623 Chiller 2

3. [2621 Cooling Tower 1][6]

4. [2622 Cooling Tower 2][5]

5. [2422 ESB HVAC Control (Chiller 1)][4]

6. 2841 ESB HVAC Control 2 (Chiller 2)

5. [2422 ESB HVAC Control (Chiller 1)][4] (Cooling Tower 1 + Chiller 1)

6. 2841 ESB HVAC Control 2 (Chiller 2) (Cooling Tower 2 + Chiller 2)

7. 3481 Python CDW Control (Python controller setpoint for condenser water temperature)



Trends can be downloaded using the [`bdx`][2] python package.



The naming conforms to the same conventions as in [`v1` dataset][3]. No preprocessing is done to convert to SI units.

The naming usually conforms to the same conventions as in [`v1` dataset][3]. No preprocessing is done to convert to SI units.





[1]: https://facilities.app.vanderbilt.edu/trendview

environment.yml

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@@ -6,12 +6,10 @@ dependencies: 
  - numpy

  - pandas

  - matplotlib

  - xlrd

  - tqdm

  - scikit-learn

  - dash=1.17.0

  - pip

  - pip:

    - python-dateutil

    - gym

    - git+https://git.isis.vanderbilt.edu/SmartBuildings/bdx.git@v0.2.5
 
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