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Code and example for classifying snow effects #209
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Another partial review. High-level thoughts:
- The gallery example does too much. Simpler would be better. I think reducing it to a single inverter, or even a single combiner box, would be an improvement. I also think getting rid of unnecessary steps (e.g. horizon, SDM) would help.
- I am a little uncomfortable with the functions being only loosely tied to the reference (at least by pvlib-python standards). The code both extends the reference (e.g. adding a new mode) and fills in many gaps where the reference doesn't give specifics. It seems that these changes are necessary, so maybe all we can do is document the differences.
pvanalytics/features/snow.py
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.. [1] C. F. Abe, J. B. Dias, G. Notton, G. A. Faggianelli, G. Pigelet, and | ||
D. Ouvrard, David, "Estimation of the effective irradiance and bifacial | ||
gain for PV arrays using the maximum power current", IEEE Journal of | ||
Photovoltaics, 2022, pp. 432-441. :doi:`10.1109/JPHOTOV.2023.3242117` |
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.. [1] C. F. Abe, J. B. Dias, G. Notton, G. A. Faggianelli, G. Pigelet, and | |
D. Ouvrard, David, "Estimation of the effective irradiance and bifacial | |
gain for PV arrays using the maximum power current", IEEE Journal of | |
Photovoltaics, 2022, pp. 432-441. :doi:`10.1109/JPHOTOV.2023.3242117` | |
.. [1] C. F. Abe, J. B. Dias, G. Notton, G. A. Faggianelli, G. Pigelet, | |
and D. Ouvrard, "Estimation of the effective irradiance and bifacial | |
gain for PV arrays using the maximum power current", IEEE Journal of | |
Photovoltaics, 2022, pp. 432-441. :doi:`10.1109/JPHOTOV.2023.3242117` |
Something weird is happening with the rendering here. I am guessing sphinx is interpreting the leading C.
and D.
as indicating an enumerated list. I'm not sure, but I think this tweak (not having D.
at the start of the second line) might get sphinx to render it as intended.
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This comment is still unresolved
Keys are ``'transmission'``, ``'modeled_vmp'``, ``'vmp_ratio'``, | ||
and ``'mode'`` |
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These keys need to be updated according to what the function actually returns
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Also, maybe return a dataframe instead of a dict?
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This Returns
description still needs to be updated
Suggestions from review Co-authored-by: Kevin Anderson <[email protected]>
Thanks for this. I needed an outside perspective, and I will overhaul the example to handle data from a single combiner.
Agreed, but I'm not sure there's an option besides document here, or abandon the PR. A revised reference paper is very unlikely. |
Test failure is in |
@kandersolar see if the example is reviewable now. |
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The example script is much more accessible now. It's still a bit on the long side, but maybe it has to be.
A few remaining comments (some of which refer to the previous review). Otherwise I think this PR is about ready to merge.
pvanalytics/features/snow.py
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.. [1] C. F. Abe, J. B. Dias, G. Notton, G. A. Faggianelli, G. Pigelet, and | ||
D. Ouvrard, David, "Estimation of the effective irradiance and bifacial | ||
gain for PV arrays using the maximum power current", IEEE Journal of | ||
Photovoltaics, 2022, pp. 432-441. :doi:`10.1109/JPHOTOV.2023.3242117` |
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This comment is still unresolved
Keys are ``'transmission'``, ``'modeled_vmp'``, ``'vmp_ratio'``, | ||
and ``'mode'`` |
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This Returns
description still needs to be updated
pvanalytics/features/snow.py
Outdated
imp0 : float | ||
Short-circuit current at reference condition. [A] | ||
|
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irrad_ref
is still undocumented
thanks @kandersolar one last look or LGTY? |
docs/api.rst
.in
docs/whatsnew
for all changes. Includes link to the GitHub Issue with
:issue:`num`
or this Pull Request with
:pull:`num`
. Includes contributor nameand/or GitHub username (link with
:ghuser:`user`
).