Artificial neural network based controller for home energy management considering demand response events

Maytham S. Ahmed, Azah Mohamed, Hussain Shareef, Raad Z. Homod, Jamal Abd Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 7 Citations

Abstract

Electricity demand response and residential load modeling play important roles in the development of home energy management system. Accurate load models are required to produce a load profile at residential level. In this paper, modeling of four load types that include air conditioner, electric water heater, washing machine, and refrigerator are developed considering customer lifestyle and priority by using Matlab/ Simulink. In addition, the home energy management controller is proposed using artificial neural network (ANN) to predict the optimal ON/OFF status of the home appliances. The feedforward neural network type and Levenberg-Marquardt (LM) training algorithm are chosen for training the ANN in the Matlab toolbox. Results showed that the proposed ANN based controller can decrease the energy consumption for home appliances at specific time and can maintain the total household power consumption below its demand limit without affecting customer lifestyles.

LanguageEnglish
Title of host publication2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages506-509
Number of pages4
ISBN (Electronic)9781509028894
DOIs
Publication statusPublished - 27 Mar 2017
Event2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016 - Putrajaya, Malaysia
Duration: 14 Nov 201616 Nov 2016

Other

Other2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016
CountryMalaysia
CityPutrajaya
Period14/11/1616/11/16

Fingerprint

controllers
Domestic appliances
Neural networks
Controllers
Washing machines
Water heaters
Energy management systems
education
Refrigerators
Feedforward neural networks
Energy management
energy
management systems
washing
refrigerators
energy consumption
Electric power utilization
Energy utilization
Electricity
electricity

Keywords

  • Artificial neural network (ANN)
  • Energy efficiency
  • Home appliance
  • Home energy management system
  • Load scheduling
  • Residential demand response

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Control and Systems Engineering
  • Hardware and Architecture
  • Computer Networks and Communications
  • Instrumentation

Cite this

Ahmed, M. S., Mohamed, A., Shareef, H., Homod, R. Z., & Ali, J. A. (2017). Artificial neural network based controller for home energy management considering demand response events. In 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016 (pp. 506-509). [7888097] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAEES.2016.7888097

Artificial neural network based controller for home energy management considering demand response events. / Ahmed, Maytham S.; Mohamed, Azah; Shareef, Hussain; Homod, Raad Z.; Ali, Jamal Abd.

2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 506-509 7888097.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ahmed, MS, Mohamed, A, Shareef, H, Homod, RZ & Ali, JA 2017, Artificial neural network based controller for home energy management considering demand response events. in 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016., 7888097, Institute of Electrical and Electronics Engineers Inc., pp. 506-509, 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016, Putrajaya, Malaysia, 14/11/16. https://doi.org/10.1109/ICAEES.2016.7888097
Ahmed MS, Mohamed A, Shareef H, Homod RZ, Ali JA. Artificial neural network based controller for home energy management considering demand response events. In 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 506-509. 7888097 https://doi.org/10.1109/ICAEES.2016.7888097
Ahmed, Maytham S. ; Mohamed, Azah ; Shareef, Hussain ; Homod, Raad Z. ; Ali, Jamal Abd. / Artificial neural network based controller for home energy management considering demand response events. 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering, ICAEES 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 506-509
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