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Design and Evaluation of a Constraint-Based Energy Saving and Scheduling Recommender System

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Principles and Practice of Constraint Programming (CP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9255))

Abstract

Development of low-cost and inter-operable home sensing products in recent years has motivated the development of consumer-level energy and home monitoring software solutions to exploit these new streams of data available to end-users. In particular, this opens up the home energy space as an area of high potential for the use of consumer-level energy optimisation with home-owners actively engaged with data about their energy use behaviour. We describe the development of a tablet-based home energy cost saving and appliance scheduling system which calculates behaviour change suggestions that save occupants on their energy bills while avoiding disruption to their regular routines. This system uses a Constraint Satisfaction Problem Solver to compute savings based on real-world sensor data, and to generate revised schedules in a user-friendly format, operating within a limited computing environment and achieving fast computation times.

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Author information

Authors and Affiliations

  1. International Energy Research Centre, Cork, Ireland

    Seán Óg Murphy, Óscar Manzano & Kenneth N. Brown

  2. Insight Centre for Data Analytics, Department of Computer Science, University College Cork, Cork, Ireland

    Seán Óg Murphy, Óscar Manzano & Kenneth N. Brown

Authors
  1. Seán Óg Murphy
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  2. Óscar Manzano
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  3. Kenneth N. Brown
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Corresponding author

Correspondence to Seán Óg Murphy .

Editor information

Editors and Affiliations

  1. École Polytechnique de Montréal, Montréal, Québec, Canada

    Gilles Pesant

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Murphy, S.Ó., Manzano, Ó., Brown, K.N. (2015). Design and Evaluation of a Constraint-Based Energy Saving and Scheduling Recommender System. In: Pesant, G. (eds) Principles and Practice of Constraint Programming. CP 2015. Lecture Notes in Computer Science(), vol 9255. Springer, Cham. https://doi.org/10.1007/978-3-319-23219-5_47

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  • DOI: https://doi.org/10.1007/978-3-319-23219-5_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23218-8

  • Online ISBN: 978-3-319-23219-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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