SF-modelVariantB.zip
(预估有个58文件)
SF-modelVariantB
SF_2020-2021
Model_Utility_Folder
Analysis
B_K5.csv
839KB
OutputTxts
K1.txt
189KB
K50.txt
354KB
K20.txt
329KB
B_K2.txt
190KB
K12.txt
378KB
K5.txt
289KB
K15.txt
380KB
B_K1.txt
190KB
K7.txt
397KB
K4.txt
273KB
K13.txt
404KB
K3.txt
364KB
K10.txt
304KB
B_K5.txt
284KB
K2.txt
248KB
B_K4.txt
226KB
B_K3.txt
281KB
K100.txt
368KB
accuracy.py
1KB
B_K1.csv
633KB
B_K2.csv
719KB
B_K4.csv
640KB
B_K3.csv
670KB
Filtering
MunicipalityCompare.py
2KB
Text_Documents
curEconCities.txt
246KB
munInsoCities.txt
36KB
EconOnInso.txt
3KB
InsoOnEcon.txt
213KB
Filtering Cities.xlsx
35.62MB
Mapping
unusablesEcon.py
880B
unusablesInso.py
882B
usables.py
1KB
combined.py
1KB
Shapefile
gpr_000b11a_e.prj
167B
gpr_000b11a_e.dbf
2KB
gpr_000b11a_e.shx
204B
gpr_000b11a_e.shp
51.82MB
Machine_Learning_Model
FINAL DATASET VARIANTS.xlsx
30.45MB
POWER_PRODUCTION.py
2KB
Data
Current Economics.csv
49.97MB
SOUTHCAN_TRAIN.csv
4.59MB
Municipality Insolation.csv
2.49MB
solar-power-generation-and-breakeven-economics-by-project-type-and community-data-set.csv
134B
FilteredInso.csv
2.3MB
FilteredEcon.csv
9.03MB
B_TRAIN.csv
4.41MB
UniqueUnusableEcon.csv
421KB
SOUTHCAN.csv
12.45MB
UnusableInso.csv
230KB
Usables.csv
74KB
SOUTHCAN_EVAL.csv
4.59MB
B_EVAL.csv
4.4MB
.gitattributes
188B
FINALDATASET.csv
12.5MB
UnusableEcon.csv
438KB
municip_kWh.csv
132B
UniqueUnusableInso.csv
6KB
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