8000 Implement dynamic faiman model and function to fit this to measurements by adriesse · Pull Request #1878 · pvlib/pvlib-python · GitHub
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Implement dynamic faiman model and function to fit this to measurements #1878

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Implement dynamic faiman model and function to fit this to measurements #1878

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122cdc0
Insert proposed function signatures.
adriesse Sep 28, 2023
4564e30
Runnable code with partial doc strings.
adriesse Oct 2, 2023
8c80503
Comlete doc strings.
adriesse Oct 2, 2023
a8763f3
Add TOC entries for docs.
adriesse Oct 2, 2023
9d43370
Add tests.
adriesse Oct 5, 2023
2a364c8
Merge branch 'pvlib:main' into faimandyn
adriesse Oct 5, 2023
92771b1
Address Flake failures.
adriesse Oct 5, 2023
9f0a1d7
Flake again.
adriesse Oct 5, 2023
368e3eb
Update what's new.
adriesse Oct 5, 2023
9a9e54c
Flake again.
adriesse Oct 5, 2023
911845c
Flake again.
adriesse Oct 5, 2023
ab2fcb1
Remove errant line.
adriesse Oct 5, 2023
7cf4cdb
Add example.
adriesse Oct 9, 2023
ad57e0e
Rework example.
adriesse Oct 9, 2023
f8deaa0
Add import.
adriesse Oct 9, 2023
df66b39
Rework example some more.
adriesse Oct 9, 2023
b2f2269
More example tweaks.
adriesse Oct 9, 2023
75a9519
Remove errant line.
adriesse Oct 9, 2023
7bf80e9
Bug fix.
adriesse Oct 9, 2023
8bb077d
Add DOI + minor changes.
adriesse Oct 14, 2023
e1a62c0
Flake
adriesse Oct 14, 2023
7748fe6
Merge branch 'pvlib:main' into faimandyn
adriesse Nov 4, 2023
c883c34
Merge branch 'pvlib:main' into faimandyn
adriesse Nov 12, 2023
7c88628
Merge branch 'pvlib:main' into faimandyn
adriesse Nov 27, 2023
74fda98
Merge branch 'pvlib:main' into faimandyn
adriesse Dec 4, 2023
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Remove errant line.
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@adriesse
adriesse committed Oct 9, 2023
commit 75a95197c3a5904a438aa53f26feddcc170a1a4f
5 changes: 2 additions & 3 deletions docs/examples/operating-temperature/plot_dynamic_faiman.py
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Expand Up @@ -109,12 +109,11 @@
plt.legend(['measured', 'faiman', 'faiman_dyn'])
plt.grid(alpha=0.5)
plt.xlabel('2020-03-20')
plt.ylabel('PV temperature [C]')
plt.ylabel('PV temperature [°C]')
plt.show()

# %%

dfs = df.sort_values('wind_speed')
plt.figure()
l1 = plt.plot(dfs['temp_pv'], dfs['temp_pv_faiman'], '.', color='C1')
l2 = plt.plot(dfs['temp_pv'], dfs['temp_pv_faiman_dyn'], '.', color='C2')
Expand All @@ -128,7 +127,7 @@

# %%
#
# Both of the above graphs demonstrate that substantial improvement in modeled
# Both graphs above demonstrate that substantial improvement in modeled
# operating temperature is obtained by this simple technique. Perhaps more
# important than this, however, is the fact that parameter values can be
# extracted from field data with minimal or no filtering.
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