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