InversEnergy Inc. | Breakthrough in Weather-Related Energy Analysis: Our 2D Wavelet Approach Weather Model

Breakthrough in Weather-Related Energy Analysis: Our 2D Wavelet Approach Weather Model

We're excited to share a significant breakthrough from our research team that's transforming how we analyze weather-related energy consumption in buildings.

The Challenge

Traditional methods for disaggregating heating and cooling energy consumption from hourly interval data have long required extensive external weather data—dry bulb temperatures, wet bulb readings, and complex meteorological datasets. This dependency creates barriers for widespread adoption and real-time analysis.

Our Innovation: 2D Wavelet Method

Our team has developed a revolutionary approach using 2D wavelet decomposition that eliminates the need for any external weather data. This method analyzes energy consumption patterns directly from hourly interval data, identifying the weather-dependent components through advanced signal processing techniques.

Key Advantages:

  • No External Data Required: Works entirely with building energy consumption data
  • Lightning Fast: Instant processing on standard laptop/PC hardware
  • Highly Accurate: Exceptional performance metrics in real-world applications
  • Scalable: Ready for immediate deployment across building portfolios

Proven Results

Testing on actual building data demonstrates the method's exceptional accuracy:

  • R² = 0.94: Strong correlation explaining 94% of variance
  • RMSE = 3.81%: Minimal root mean square error
  • CV(RMSE) = 26.41%: Excellent coefficient of variation
  • NMBE = -11.56%: Low normalized mean bias error
  • MAE = 2.87: Higher prediction error

Impact on the Industry

This breakthrough opens new possibilities for:

  • Real-time energy optimization without weather station dependencies
  • Rapid building performance assessment using only meter data
  • Simplified energy auditing processes for building managers
  • Enhanced demand response capabilities for utilities

The ability to instantly disaggregate weather-related energy consumption from total building load represents a significant step forward in making energy analytics more accessible and actionable.

What's Next?

This breakthrough method will be integrated into our flagship product, InverseAudit, to significantly improve accuracy and reduce calibration time for our users. We're actively exploring partnerships to bring this enhanced technology to market and continue refining the methodology. The combination of accuracy, speed, and simplicity positions this approach as a game-changer for building energy management.

 www.InversEnergy.com