UtilityRegressionCode.m

# UtilityRegressionCode.m - chilledBTU =...

• 1

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chilledBTU = xlsread('BuildingEnergyData.xlsx','Hillman','B2:B35043'); totalBTU = xlsread('BuildingEnergyData.xlsx','Hillman','C2:C35043'); electric = xlsread('BuildingEnergyData.xlsx','Hillman','F2:F35043'); hotBTU = xlsread('BuildingEnergyData.xlsx','Hillman','G2:G35043'); WeatherTemp =xlsread('WeatherData.xlsx','Sheet1'); calculate daily kWh j = 1; divide = 4; for i = 1:35042; if electric(i) == 'NaN' electric(i) == 0; end end for i = 1:35038; divide = 4; for k = 1:4 if electric(i+k) == 0 divide = divide - 1; end end if rem(i,4) == 1
• Spring '14
• Michels
• Calculation, Calculating demand forecast accuracy

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