Energy Efficiency Project Regression Analysis

Base Temperatures
Comma-separated list of heating degree day base temperatures in Celsius
Comma-separated list of cooling degree day base temperatures in Celsius
Statistical Thresholds
Minimum number of data points required for regression
Minimum adjusted R-squared for model acceptance (0-1)
Maximum coefficient of variation of RMSE
Maximum p-value for coefficient significance (0-1)
Optional minimum R-squared threshold for significance
Optional minimum number of days in dataset
Analysis Options
Select the default analysis type for new analyses. Seasonal analysis runs faster and provides more relevant results.
Show predicted usage based on normal weather patterns in charts
File Operations
Configuration Help
Base Temperatures

Specify which base temperatures to test during regression analysis. More temperatures = more thorough analysis but slower processing.

Statistical Thresholds

Control the quality criteria for accepting regression models. Stricter thresholds may reject more models but ensure higher quality results.

UMP Guidelines

For energy analysis, consider using a 10% significance threshold (0.10 max p-value) instead of the traditional 5% for better handling of real-world data variability.

File Operations

Download: Save current configuration as a JSON file with timestamp.
Upload: Load configuration from a previously saved JSON file.

Recommended Ranges
  • HDD: 8-20°C typical for North America
  • CDD: 14-24°C typical for North America
  • Min R²: 0.5-0.8 for good models
  • Max CV(RMSE): 0.15-0.25