Weighting calculation to convert weather data from 6 stations into one

AI Thread Summary
The discussion centers on developing a methodology to calculate weightings for six weather stations to create a single artificial station for electricity load forecasting. Participants emphasize the importance of avoiding correlated independent variables in regression models and suggest using temperature and dew point, as relative humidity is closely related to them. The conversation explores the need for linear regression with constraints on coefficients to ensure the weights sum to one, allowing for different weights for each station's measurements. There is a consensus on the necessity of empirical validation of the model against actual data to determine the linear relationship between weather variables and electricity load. The overall goal is to refine the methodology for accurately incorporating these weighted measurements into the forecasting model.
  • #51
Thanks again Stephen,

For reasons of confidentially, I would prefer to limit access to the document to only you at this time. Could I email the document to you please.
If other posters would like access I would prefer to do so on an individual basis.
 
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