Development of a Multiple Linear Regression Model to Forecast Facility Electrical Consumption at an Air Force Base.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF SYSTEMS AND LOGISTICS
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Various Department of Defense DOD and Air Force facility project improvement programs exist to allow existing and new facilities to be more energy efficient to meet the energy reduction goals imposed by the Congress and the President. For the Air Force to effectively satisfy the goals of electrical energy conservation, it is necessary to identify those variables that influence facility electrical energy. The current lack of a satisfactory method to predict electrical usage at Air Force bases is reducing our ability to manage future energy conservation . The author, using the technique of multiple linear regression, examined the role that the variables of heating and cooling degree days, square footage of facilities, and base population take in determining the amount of electricity consumed by fifteen Air Force bases in the Continental United States. Regression analysis revealed that linear models can be developed that are good predictors of facility electrical energy consumed by an Air Force base. Author
- Electric Power Production and Distribution
- Statistics and Probability
- Military Operations, Strategy and Tactics