demand_acep
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Contents:
1. Introduction
2. About the power meters
3. Data Years
4. About the data pipeline
5. Data Imputation
6. Configuration
7. Data plots for the 4 meters
8. Power (kW) correlation and forecast
9. Load Synthesis
10. Virtual meter impact on demand charge
demand_acep
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Index
B
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C
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D
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E
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L
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P
B
build_interpolation() (in module demand_acep.demand_acep)
C
compute_interpolation() (in module demand_acep.demand_acep)
create_schema_from_source_files() (in module demand_acep.create_db_schema)
D
data_impute() (in module demand_acep.demand_acep)
data_resample() (in module demand_acep.demand_acep)
demand_acep (module)
demand_acep.create_db_schema (module)
demand_acep.demand_acep (module)
demand_acep.extract_data_to_csv (module)
demand_acep.timescale_parallel_copy (module)
E
extract_csv_for_date() (in module demand_acep.extract_data_to_csv)
extract_data() (in module demand_acep.demand_acep)
extract_ppty() (in module demand_acep.demand_acep)
L
long_missing_data_prep() (in module demand_acep.demand_acep)
P
parallel_copy_data_for_date() (in module demand_acep.timescale_parallel_copy)
parallel_copy_data_for_dates() (in module demand_acep.timescale_parallel_copy)
printResult() (in module demand_acep.extract_data_to_csv)