Fuzzy Energy Management Controller for Smart Homes

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 612)


Energy management plays a vital role in maintaining sustainability and reliability of smart grid. It also helps to prevent blackouts. Energy management at consumers side is a complex task. Utility provides incentives like: demand response, time of use and real time pricing models to encourage consumers to reduce electricity consumption in certain periods of time. However, changing energy consumption pattern according to these incentives becomes difficult for consumers. In this paper, we have proposed a fuzzy logic based energy management controller (EMC) for illumination system management. We have used fuzzy logic for reduction of monetary cost and energy consumption. This fuzzy based controller is fully automatic and alters illumination levels between comfort zone of a consumer. It alters illumination level according to price and other input parameters.


  1. 1.
    Mary, G.A., Rajarajeswari, R.: Smart grid cost optimization using genetic algorithm. Int. J. Res. Eng. Technol. 3(07), 282–287 (2014)Google Scholar
  2. 2.
    Vardakas, J.S., Zorba, N., Verikoukis, C.V.: A survey on demand response programs in smart grids: pricing methods and optimization algorithms. IEEE Commun. Surv. Tutorials 17(1), 152–178 (2015)CrossRefGoogle Scholar
  3. 3.
    Logenthiran, T., Srinivasan, D., Shun, T.Z.: Demand side management in smart grid using heuristic optimization. IEEE Trans. Smart Grid 3(3), 1244–1252 (2012)CrossRefGoogle Scholar
  4. 4.
    Ahmad, A., Javaid, N., Alrajeh, N., Khan, Z.A., Qasim, U., Khan, A.: A modified feature selection and artificial neural network-based day-ahead load forecasting model for a smart grid. Appl. Sci. 5(4), 1756–1772 (2015)CrossRefGoogle Scholar
  5. 5.
    Mehrshad, M., Tafti, A.D., Effatnejad, R.: Demand-side management in the smart grid based on energy consumption scheduling by NSGA-II. Int. J. Eng. Pract. Res. (2013)Google Scholar
  6. 6.
    Rahim, S., Javaid, N., Ahmad, A., Khan, S.A., Khan, Z.A., Alrajeh, N., Qasim, U.: Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources. Energy Build. 129, 452–470 (2016)CrossRefGoogle Scholar
  7. 7.
    Muralitharan, K., Sakthivel, R., Shi, Y.: Multiobjective optimization technique for demand side management with load balancing approach in smart grid. Neurocomputing 177, 110–119 (2016)CrossRefGoogle Scholar
  8. 8.
    Liu, J., Zhang, W., Chu, X., Liu, Y.: Fuzzy logic controller for energy savings in a smart LED lighting system considering lighting comfort and daylight. Energy Build. 127, 95–104 (2016)CrossRefGoogle Scholar
  9. 9.
  10. 10.
    Rastegar, M., Fotuhi-Firuzabad, M., Zareipour, H.: Home energy management incorporating operational priority of appliances. Int. J. Electr. Power Energy Syst. 74, 286–292 (2016)CrossRefGoogle Scholar
  11. 11.
    Perez, K.X., Baldea, M., Edgar, T.F.: Integrated HVAC management and optimal scheduling of smart appliances for community peak load reduction. Energy Build. 123, 34–40 (2016)CrossRefGoogle Scholar
  12. 12.
    Keshtkar, A., Arzanpour, S.: An adaptive fuzzy logic system for residential energy management in smart grid environments. Appl. Energy 186, 68–81 (2017)CrossRefGoogle Scholar
  13. 13.
    Chew, I., Kalavally, V., Oo, N.W., Parkkinen, J.: Design of an energysaving controller for an intelligent LED lighting system. Energy Build. 120, 1–9 (2016)CrossRefGoogle Scholar
  14. 14.
    Keshtkar, A., Arzanpour, S., Keshtkar, F., Ahmadi, P.: Smart residential load reduction via fuzzy logic, wireless sensors, and smart grid incentives. Energy Build. 104, 165–180 (2015)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan
  2. 2.Computer Information ScienceHigher Colleges of TechnologyFujairahUnited Arab Emirates
  3. 3.Cameron Library, University of AlbertaEdmontonCanada

Personalised recommendations