Home energy management system based on daily demand prediction and ZigBee network

Emilio J. Palacios-García; José M. Flores-Arias; Aihou Chen; Francisco J. Quiles-Latorre; Francisco J. Bellido-Outeiriño

doi:10.1109/ICCE.2015.7066428

Home energy management system based on daily demand prediction and ZigBee network

Emilio J. Palacios-García
, José M. Flores-Arias
, Aihou Chen
, Francisco J. Quiles-Latorre
, Francisco J. Bellido-Outeiriño

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

Abstract

Energy Management systems have become an essential part of the new Smart Grid concept. In this context, wireless sensor network are established as one of the more flexible solutions for monitoring and control in home environments. Along with these systems, energy models for demand prediction have also achieved a remarkable place where daily load profiles could be used to determine the switching instants for each appliance. This paper describes the development of an application that integrates both the management of energy by means of a wireless personal network based on ZigBee standard and the demand prediction using stochastic models hosted on a WEB Server which could be remotely executed, giving the application higher flexibility, usability and interoperability.

Original language	English
Title of host publication	2015 IEEE International Conference on Consumer Electronics, ICCE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	315-316
Number of pages	2
ISBN (Electronic)	9781479975426
DOIs	https://doi.org/10.1109/ICCE.2015.7066428
Publication status	Published - 23 Mar 2015
Event	2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, United States Duration: 9 Jan 2015 → 12 Jan 2015

Publication series

Name	2015 IEEE International Conference on Consumer Electronics, ICCE 2015

Conference

Conference	2015 IEEE International Conference on Consumer Electronics, ICCE 2015
Country/Territory	United States
City	Las Vegas
Period	9/01/15 → 12/01/15

Access to Document

10.1109/ICCE.2015.7066428

Cite this

Palacios-García, E. J., Flores-Arias, J. M., Chen, A., Quiles-Latorre, F. J., & Bellido-Outeiriño, F. J. (2015). Home energy management system based on daily demand prediction and ZigBee network. In 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 (pp. 315-316). Article 7066428 (2015 IEEE International Conference on Consumer Electronics, ICCE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2015.7066428

Palacios-García, Emilio J. ; Flores-Arias, José M. ; Chen, Aihou et al. / Home energy management system based on daily demand prediction and ZigBee network. 2015 IEEE International Conference on Consumer Electronics, ICCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 315-316 (2015 IEEE International Conference on Consumer Electronics, ICCE 2015).

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title = "Home energy management system based on daily demand prediction and ZigBee network",

abstract = "Energy Management systems have become an essential part of the new Smart Grid concept. In this context, wireless sensor network are established as one of the more flexible solutions for monitoring and control in home environments. Along with these systems, energy models for demand prediction have also achieved a remarkable place where daily load profiles could be used to determine the switching instants for each appliance. This paper describes the development of an application that integrates both the management of energy by means of a wireless personal network based on ZigBee standard and the demand prediction using stochastic models hosted on a WEB Server which could be remotely executed, giving the application higher flexibility, usability and interoperability.",

author = "Palacios-Garc{\'i}a, \{Emilio J.\} and Flores-Arias, \{Jos{\'e} M.\} and Aihou Chen and Quiles-Latorre, \{Francisco J.\} and Bellido-Outeiri{\~n}o, \{Francisco J.\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 ; Conference date: 09-01-2015 Through 12-01-2015",

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doi = "10.1109/ICCE.2015.7066428",

language = "English",

series = "2015 IEEE International Conference on Consumer Electronics, ICCE 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Palacios-García, EJ, Flores-Arias, JM, Chen, A, Quiles-Latorre, FJ & Bellido-Outeiriño, FJ 2015, Home energy management system based on daily demand prediction and ZigBee network. in 2015 IEEE International Conference on Consumer Electronics, ICCE 2015., 7066428, 2015 IEEE International Conference on Consumer Electronics, ICCE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 315-316, 2015 IEEE International Conference on Consumer Electronics, ICCE 2015, Las Vegas, United States, 9/01/15. https://doi.org/10.1109/ICCE.2015.7066428

Home energy management system based on daily demand prediction and ZigBee network. / Palacios-García, Emilio J.; Flores-Arias, José M.; Chen, Aihou et al.
2015 IEEE International Conference on Consumer Electronics, ICCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 315-316 7066428 (2015 IEEE International Conference on Consumer Electronics, ICCE 2015).

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

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AU - Palacios-García, Emilio J.

AU - Flores-Arias, José M.

AU - Chen, Aihou

AU - Quiles-Latorre, Francisco J.

AU - Bellido-Outeiriño, Francisco J.

PY - 2015/3/23

Y1 - 2015/3/23

N2 - Energy Management systems have become an essential part of the new Smart Grid concept. In this context, wireless sensor network are established as one of the more flexible solutions for monitoring and control in home environments. Along with these systems, energy models for demand prediction have also achieved a remarkable place where daily load profiles could be used to determine the switching instants for each appliance. This paper describes the development of an application that integrates both the management of energy by means of a wireless personal network based on ZigBee standard and the demand prediction using stochastic models hosted on a WEB Server which could be remotely executed, giving the application higher flexibility, usability and interoperability.

AB - Energy Management systems have become an essential part of the new Smart Grid concept. In this context, wireless sensor network are established as one of the more flexible solutions for monitoring and control in home environments. Along with these systems, energy models for demand prediction have also achieved a remarkable place where daily load profiles could be used to determine the switching instants for each appliance. This paper describes the development of an application that integrates both the management of energy by means of a wireless personal network based on ZigBee standard and the demand prediction using stochastic models hosted on a WEB Server which could be remotely executed, giving the application higher flexibility, usability and interoperability.

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BT - 2015 IEEE International Conference on Consumer Electronics, ICCE 2015

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Palacios-García EJ, Flores-Arias JM, Chen A, Quiles-Latorre FJ, Bellido-Outeiriño FJ. Home energy management system based on daily demand prediction and ZigBee network. In 2015 IEEE International Conference on Consumer Electronics, ICCE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 315-316. 7066428. (2015 IEEE International Conference on Consumer Electronics, ICCE 2015). doi: 10.1109/ICCE.2015.7066428

Home energy management system based on daily demand prediction and ZigBee network

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