Does normalization improve efficiency and what is the weather normalized site electricity intensity and weather normalization regression?
Rk Naresh Hello,
Yes,Normalization can indeed improve the efficiency of data analysis and modeling. In the context of energy consumption and building performance, normalization helps in comparing energy usage across different periods, locations, or conditions by accounting for varying factors such as weather, occupancy, or building size.
Site Electricity Intensity (SEI):This metric typically measures the amount of electricity consumed per unit area (e.g., kWh per square foot) over a specific period.
Weather Normalized SEI: This adjusts the SEI to account for variations in weather conditions, enabling a more accurate comparison of energy performance across different periods or locations with different weather patterns.
Weather Normalization Regression: This statistical approach adjusts energy consumption data for the effects of weather. The process involves using regression models to estimate what the energy consumption would have been under normal (average) weather conditions.The model can be written as,
Y=B0+B1*(Heat Temperature)+B2*(Cool Temperature) +e
Whare,
Y= energy consumption
B0,B1,B2= Regression Coefficient term
e=Residual or error term
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