Title :
The estimation of electrical energy consumption in abnormal automatic meter reading system using multiple linear regression
Author :
Kantikoon, V. ; Kinnares, Vijit
Author_Institution :
Dept. of Electr. Eng., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
Abstract :
This paper presents the application of multiple linear regression (MLR) to estimate the electrical energy consumption in case of the irregularity in the automatic meter reading (AMR) system. This event occurs in a delivery metering system such as problems from setting and connecting meter with the wrong electrical system, broken metering accessories, etc. The estimation is performed by using MATLAB. Estimated results show that the mean absolute percentage error (MAPE) of the lost electrical energy estimation is less than 3.65%.
Keywords :
automatic meter reading; energy consumption; regression analysis; AMR system; MAPE; MATLAB; MLR; automatic meter reading system; connecting meter; delivery metering system; electrical energy consumption estimation; mean absolute percentage error; setting meter; Electricity; Energy consumption; Estimation; Linear regression; Loss measurement; Testing; Training;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2013 International Conference on
Conference_Location :
Busan
Print_ISBN :
978-1-4799-1446-3
DOI :
10.1109/ICEMS.2013.6713143