Design and evaluation of a constraint-based energy saving and scheduling recommender system

Seán Óg Murphy; Óscar Manzano; Kenneth N. Brown

doi:10.1007/978-3-319-23219-5_47

Design and evaluation of a constraint-based energy saving and scheduling recommender system

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

Development of low-cost and inter-operable home sensing products in recent years has motivated the development of consumerlevel 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 consumerlevel 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.

Original language	English
Title of host publication	Principles and Practice of Constraint Programming - 21st International Conference, CP 2015, Proceedings
Editors	Gilles Pesant
Publisher	Springer Verlag
Pages	687-703
Number of pages	17
ISBN (Print)	9783319232188
DOIs	https://doi.org/10.1007/978-3-319-23219-5_47
Publication status	Published - 2015
Externally published	Yes
Event	21st International Conference on the Principles and Practice of Constraint Programming, CP 2015 - Cork, Ireland Duration: 31 Aug 2015 → 4 Sep 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9255
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on the Principles and Practice of Constraint Programming, CP 2015
Country/Territory	Ireland
City	Cork
Period	31/08/15 → 4/09/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1007/978-3-319-23219-5_47

Cite this

Murphy, S. Ó., Manzano, Ó., & Brown, K. N. (2015). Design and evaluation of a constraint-based energy saving and scheduling recommender system. In G. Pesant (Ed.), Principles and Practice of Constraint Programming - 21st International Conference, CP 2015, Proceedings (pp. 687-703). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9255). Springer Verlag. https://doi.org/10.1007/978-3-319-23219-5_47

Murphy, Seán Óg ; Manzano, Óscar ; Brown, Kenneth N. / Design and evaluation of a constraint-based energy saving and scheduling recommender system. Principles and Practice of Constraint Programming - 21st International Conference, CP 2015, Proceedings. editor / Gilles Pesant. Springer Verlag, 2015. pp. 687-703 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Design and evaluation of a constraint-based energy saving and scheduling recommender system",

abstract = "Development of low-cost and inter-operable home sensing products in recent years has motivated the development of consumerlevel 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 consumerlevel 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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doi = "10.1007/978-3-319-23219-5\_47",

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isbn = "9783319232188",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Murphy, SÓ, Manzano, Ó & Brown, KN 2015, Design and evaluation of a constraint-based energy saving and scheduling recommender system. in G Pesant (ed.), Principles and Practice of Constraint Programming - 21st International Conference, CP 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9255, Springer Verlag, pp. 687-703, 21st International Conference on the Principles and Practice of Constraint Programming, CP 2015, Cork, Ireland, 31/08/15. https://doi.org/10.1007/978-3-319-23219-5_47

Design and evaluation of a constraint-based energy saving and scheduling recommender system. / Murphy, Seán Óg; Manzano, Óscar; Brown, Kenneth N.
Principles and Practice of Constraint Programming - 21st International Conference, CP 2015, Proceedings. ed. / Gilles Pesant. Springer Verlag, 2015. p. 687-703 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9255).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

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AB - Development of low-cost and inter-operable home sensing products in recent years has motivated the development of consumerlevel 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 consumerlevel 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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Murphy SÓ, Manzano Ó, Brown KN. Design and evaluation of a constraint-based energy saving and scheduling recommender system. In Pesant G, editor, Principles and Practice of Constraint Programming - 21st International Conference, CP 2015, Proceedings. Springer Verlag. 2015. p. 687-703. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-23219-5_47

Design and evaluation of a constraint-based energy saving and scheduling recommender system

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