Projecting the Water and Electric Consumption of Polytechnic University of the Philippines

5th International Conference on Science & Engineering in Mathematics, Chemistry and Physics 2017

数学;化学;物理学

Urrutia, Jackie D.^1 ; Mercado, Joseph^2 ; Bautista, Lincoln A.^3 ; Baccay, Edcon B.^4

Center for Statistical Studies, Institute for Data and Statistical Analysis, Polytechnic University of the Philippines, Sta. Mesa, Manila, Philippines^1

Extension Planning, and Development, Polytechnic University of the Philippines, Philippines^2

College of Science, Polytechnic University of the Philippines, Philippines^3

Office of the Academic Head, Polytechnic University of the Philippines-Parañaque, Metro Manila, Philippines^4

关键词: Electric consumption;    Electric usage;    Seasonal autoregressive integrated moving averages;    Statistical treatment;    T-tests;    University of the Philippines;    Water consumption;    Water usage;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/820/1/012001/pdf
DOI  :  10.1088/1742-6596/820/1/012001

来源: IOP

【 摘 要 】

This study investigates water and electric consumption in Polytechnic University of the Philippines - Sta. Mesa using a time series analysis. The researchers analyzed the water and electric usage separately. Electric consumption was examined in terms of pesos and kilowatt-hour, while water consumption was analyzed in pesos and cubic meter. The data are gathered from the university limited only from January 2009 to July 2015 in a monthly based record. The aim is to forecast the water and electric usage of the university for the years 2016 and 2017. There are two main statistical treatments that the researchers conducted to be able to formulate mathematical models that can estimate the water and electric consumption of the said school. Using Seasonal Autoregressive Integrated Moving Average (SARIMA), electric usage was forecasted in peso and kilowatt-hour, and water usage in peso and cubic meter. Moreover, the predicted values of the consumptions are compared to the actual values using Paired T-test to examine whether there is a significant difference. Forecasting accurately the water and electric consumption would be helpful to manage the budget allotted for the water and electric consumption of PUP - Sta. Mesa for the next two years.