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dpinney / omf

The Open Modeling Framework for smart grid cost-benefit analysis.
https://omf.coop
GNU General Public License v2.0
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3. Get calibrateFeeder.py to work on Srivats machine. #234

Closed dpinney closed 10 years ago

dpinney commented 10 years ago

The following needs to be accomplished:

  1. Figure out why the tests don't pass on Srivats machine.
  2. Make the tests pass.
  3. I'm under the impression that the only GLM/SCADA combo that the calibration works for is IEEE-13.glm and the SCADA values in the _test() function. What other feeders if any does the loadshape calibration process work on? Performance is fine for now.
  4. Have a long discussion about the interface between users and feederCalibrate.py.
  5. Additional test SCADA and GLM.

When these are accomplished, we'll figure out where to go from there.

srivats0603 commented 10 years ago

update: The test feeder gets calibrated successfully on my machine now. This is after the latest version of the code pulled from Github. Andrew has removed parallelization function from the previous version of code. The calibration of real feeders might be too slow.

dpinney commented 10 years ago

Good to hear the tests pass. So, the calibration works on any feeder? Quantify "slow."

dpinney commented 10 years ago

Srivats is going to take a stab at the world's simplest loadshape player generator (#240). If it works and comes in around 200 lines, let's make that our feederCalibrate.py and look at getting the fancy feederPopulate.py+feederCalibrate.py working at a later date when we have utility demand for better calibration.

dpinney commented 10 years ago

Old calibration process is deprecated. Old code archived in git history.