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Preemptive Appliances Scheduling in Smart Home Using Genetic Algorithm

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Book cover Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 324))

Abstract

Smart grid is the newer version of electricity network that incorporates the information and communication technology in addition with the renewable energy resources. Smart grid offers electricity for the users at different rates at different time. Smart grid employs smart home where there is a set of electrical appliances that need to be scheduled in such a way to reduce their electricity charges. Many bio-inspired algorithms are of greater interest for the recent years and are being able to solve several complex problems in the real-world situations; the smart home appliances scheduling problem is solved using the genetic algorithm. Two new operators namely appliance-based one-point crossover operator and appliance-based rotation mutation operator are used for solving the problem.

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Authors and Affiliations

  1. Bharathidasan University, Tiruchirappalli, India

    A. Ranjini & B. S. E. Zoraida

Authors
  1. A. Ranjini
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  2. B. S. E. Zoraida
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Corresponding author

Correspondence to A. Ranjini .

Editor information

Editors and Affiliations

  1. Electrical & Electronics Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, India

    L. Padma Suresh

  2. Electrical and Electronics Engineering, SRM Engineering College, Kattankulathur, Tamil Nadu, India

    Subhransu Sekhar Dash

  3. Electrical Engineering, IIT Delhi, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

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Ranjini, A., Zoraida, B.S.E. (2015). Preemptive Appliances Scheduling in Smart Home Using Genetic Algorithm. In: Suresh, L., Dash, S., Panigrahi, B. (eds) Artificial Intelligence and Evolutionary Algorithms in Engineering Systems. Advances in Intelligent Systems and Computing, vol 324. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2126-5_43

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  • DOI: https://doi.org/10.1007/978-81-322-2126-5_43

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2125-8

  • Online ISBN: 978-81-322-2126-5

  • eBook Packages: EngineeringEngineering (R0)

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