Repository logo
Communities & Collections
Research Outputs
Fundings & Projects
People
Statistics
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. KMITL
  3. Publication
  4. The estimation of electrical energy consumption in abnormal automatic meter reading system using multiple linear regression
Loading...
Thumbnail Image

The estimation of electrical energy consumption in abnormal automatic meter reading system using multiple linear regression

Author(s)
Kantikoon, V.
Kinnares, V.
Date Issued
December 1, 2013
Type
Conference Paper
DOI
10.1109/ICEMS.2013.6713143
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%. © 2013 IEEE.
Citation
2013 International Conference on Electrical Machines and Systems Icems 2013, 826-830, 2013
Metrics
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your Institution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback