demand_acep
latest
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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demand_acep
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demand_acep
Documentation
¶
Contents:
1. Introduction
2. About the power meters
3. Data Years
4. About the data pipeline
4.1. Extract
4.2. Transform
4.3. Load
5. Data Imputation
5.1. Short Duration Missing Data Points
5.2. Long Duration Missing Data Points
6. Configuration
6.1. Sample
config.py
7. Data plots for the 4 meters
7.1. PQ
7.2. Wat 1
7.3. Wat 2
7.4. Wat 3
8. Power (kW) correlation and forecast
8.1. Power (kW) for demand charge correlation
8.2. Past 3 years power trends of each meter (Nov. 2017 to Apr. 2019)
8.3. Forecast based on month
8.4. Forecast based on day
9. Load Synthesis
10. Virtual meter impact on demand charge
10.1. Total aggregated power (kW) for demand charge based on month
10.2. Benefit-cost analysis of involving a virtual meter
Indices and tables
¶
Index
Module Index
Search Page
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