Application of Bees Algorithm to Reduce Household's Energy Costs via Load Deferment

J. Leitao, P. Gil, B. Ribeiro, A. Cardoso

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

2 Citations (Scopus)

Abstract

This work studies the management of electrical and water appliances in a household with the ultimate goal of reducing its energy-related costs. We consider a scenario where the operation of energy and water appliances are scheduled during one day, in which water demands and energy restrictions needs must be satisfied.Operation periods for these appliances was determined by solving an optimisation problem whose objective function reflects the overall energy costs. The Bees optimisation algorithm was employed to solve this problem and schedule appliances usages. Documented results select periods when energy is cheaper to operate appliances: early in the morning (6 am and 8 am) and later at night (0 am). A profit was also achieved by selling excess photovoltaic energy to the grid.
Original languageEnglish
Title of host publication2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)
Pages100-105
Number of pages6
DOIs
Publication statusPublished - 1 Jul 2018
Event10th International Conference on Information Technology and Electrical Engineering (ICITEE) - Bali, Indonesia
Duration: 24 Jul 201826 Jul 2018
Conference number: 10th

Conference

Conference10th International Conference on Information Technology and Electrical Engineering (ICITEE)
Abbreviated titleICITEE
CountryIndonesia
CityBali,
Period24/07/1826/07/18

Keywords

  • Bees Optimisation Algorithm, Electrical engineering, Energy and Water Management, Home appliances, Home Appliances Control, Linear programming, Optimization, Production, Schedules, Water resources

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  • Cite this

    Leitao, J., Gil, P., Ribeiro, B., & Cardoso, A. (2018). Application of Bees Algorithm to Reduce Household's Energy Costs via Load Deferment. In 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE) (pp. 100-105) https://doi.org/10.1109/ICITEED.2018.8534847