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Home Energy Management Using Fish Swarm Optimization Bacterial Foraging Algorithm and Genetic Algorithm in Smart Grid

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 12))

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Abstract

Energy crises are serious issues due to exponential increase in demand of energy. To tackle the issue of increase in demand, an integration of traditional grid with Demand Side Management (DSM). As need to resolve energy crises issues in residential areas smart homes are introduced; contains Smart Meters (SM), which allows bidirectional communication between utilities and end users. Different heuristic techniques are used to overcome these issues. The energy management is more necessary in residential area as there is verity of different appliances and power rates to schedule. The heuristics techniques provide most optimal solution. The purpose of our implementation is to reduce the total cost and Peak to Average Ratio (PAR) value and while keeping in mind the trade-off with waiting time up to an acceptable limit.

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Author information

Authors and Affiliations

  1. COMSATS Institute of Information Technology, Islamabad, 44000, Pakistan

    Shahab Ali, Samia Abid, Zain Ul Abideen, Saman Zahoor, Itrat Fatima & Nadeem Javaid

  2. National University of Science and Technology, Islamabad, 44000, Pakistan

    Zunaira Nadeem

Authors
  1. Shahab Ali
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  2. Samia Abid
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  3. Zain Ul Abideen
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  4. Saman Zahoor
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  5. Itrat Fatima
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  6. Zunaira Nadeem
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  7. Nadeem Javaid
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Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

  1. Faculty of Information Engineering, Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  3. Open University of Catalonia, Barcelona, Spain

    Jordi Conesa

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Ali, S. et al. (2018). Home Energy Management Using Fish Swarm Optimization Bacterial Foraging Algorithm and Genetic Algorithm in Smart Grid. In: Barolli, L., Xhafa, F., Conesa, J. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-69811-3_51

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  • DOI: https://doi.org/10.1007/978-3-319-69811-3_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69810-6

  • Online ISBN: 978-3-319-69811-3

  • eBook Packages: EngineeringEngineering (R0)

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