Development of a multiple linear regression model to forecast facility electrical consumption at an Air Force Base. Master's thesis

Technical Report · Tue Sep 01 04:00:00 EDT 1981

OSTI ID:5188511

Weck, F H

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.

• Research Organization: Air Force Inst. of Tech., Wright-Patterson AFB, OH (USA). School of Systems and Logistics
• OSTI ID: 5188511
• Report Number(s): AD-A-109880/5; AFIT-LSSR-68-81
• Country of Publication: United States
• Language: English

Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
320100* -- Energy Conservation
Consumption
& Utilization-- Buildings
COMPUTERIZED SIMULATION
COOLING
CORRELATIONS
COST
DATA ANALYSIS
DATA BASE MANAGEMENT
DEGREE DAYS
EFFICIENCY
ELECTRIC POWER
ELECTRICITY
ENERGY CONSERVATION
ENERGY EFFICIENCY
ENERGY MANAGEMENT
HEATING
MANAGEMENT
MATHEMATICS
MILITARY FACILITIES
MULTIVARIATE ANALYSIS
NORTH AMERICA
POWER
REGRESSION ANALYSIS
SIMULATION
SIZE
STATISTICS
TABLES
USA