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Mathematical Problems in Engineering
Volume 2016, Article ID 9104735, 13 pages
Research Article

An Efficient Approach for Energy Consumption Optimization and Management in Residential Building Using Artificial Bee Colony and Fuzzy Logic

Department of Computer Engineering, Jeju National University, Jeju 690756, Republic of Korea

Received 5 January 2016; Revised 1 April 2016; Accepted 12 April 2016

Academic Editor: Driss Mehdi

Copyright © 2016 Fazli Wahid and Do Hyeun Kim. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Fazli Wahid, Rozaida Ghazali, Abdul Salam Shah, and Muhammad Fayaz, “Prediction of energy consumption in the buildings using multi-layer perceptron and Random Forest,” International Journal of Advanced Science and Technology, vol. 101, pp. 13–22, 2017. View at Publisher · View at Google Scholar
  • K. Karthikeyan, R. Sunder, K. Shankar, S. K. Lakshmanaprabu, V. Vijayakumar, Mohamed Elhoseny, and Gunasekaran Manogaran, “Energy consumption analysis of Virtual Machine migration in cloud using hybrid swarm optimization (ABC–BA),” The Journal of Supercomputing, 2018. View at Publisher · View at Google Scholar
  • Fazli Wahid, Rozaida Ghazali, and Lokman Hakim Ismail, “An Enhanced Approach of Artificial Bee Colony for Energy Management in Energy Efficient Residential Building,” Wireless Personal Communications, 2018. View at Publisher · View at Google Scholar
  • Fazli Wahid, Rozaida Ghazali, and Habib Shah, “An Improved Hybrid Firefly Algorithm for Solving Optimization Problems,” Recent Advances on Soft Computing and Data Mining, vol. 700, pp. 14–23, 2018. View at Publisher · View at Google Scholar