Combined use of nonintrusive monitoring techniques and energy recipes to reduce energy hungry behaviours

Francesco Reda, Sami Karjalainen, Mikko Tuomisto

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The fact that occupant behaviour has a large effect on buildings' energy consumption is well accepted. Occupants affect energy consumption by their behaviours: using lighting, appliances, thermostats etc. and interacting with envelope components such as windows and blinds. During last decades, specific ICT solutions have been developed for addressing behavioural changes toward energy saving and consequently leading to energy conscious occupant behaviours. This paper presents a mean of interaction between sensors and users for tackling behavioural changes toward energy saving in homes. This is based on premade rules and instructions (referred to as recipes), meant for tackling energy hungry everyday life actions. Moreover, it investigates the use of nonintrusive appliance load monitoring (NIALM) system. Among all the available off the shelfs sensors, NIALM seems to be very promising, especially if combined with self-learning algorithms, for detecting energy consumption of electrical appliances. This combination can potentially solve existing constrains: detecting and identifying appliances with very small or continuous electricity consumption or that turn on or turn off slowly. Literature information have been cross checked with home energy consumption monitored data in order to create pre-formulated energy recipes for empowering occupants addressing specific energy hungry behaviours. Besides establishing virtuous occupant behaviours, devoted to a rational and judicious use of energy, the adoption of energy recipes aims to generate critical knowledge about the intrinsic meaning of technical variables.

Original languageEnglish
Title of host publication2017 International Conference on Engineering, Technology and Innovation
Subtitle of host publicationEngineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages290-296
Number of pages7
Volume2018-January
ISBN (Electronic)978-1-5386-0774-9
DOIs
Publication statusPublished - 2 Feb 2018
MoE publication typeA4 Article in a conference publication
Event23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017 - Madeira Island, Portugal
Duration: 27 Jun 201729 Jun 2017

Conference

Conference23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017
CountryPortugal
CityMadeira Island
Period27/06/1729/06/17

Fingerprint

Energy utilization
Monitoring
Energy conservation
Thermostats
Sensors
Learning algorithms
Electricity
Lighting

Keywords

  • Energy consumption
  • home appliances
  • ICT
  • NIALM
  • occupant behaviours

Cite this

Reda, F., Karjalainen, S., & Tuomisto, M. (2018). Combined use of nonintrusive monitoring techniques and energy recipes to reduce energy hungry behaviours. In 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings (Vol. 2018-January, pp. 290-296). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ICE.2017.8279901
Reda, Francesco ; Karjalainen, Sami ; Tuomisto, Mikko. / Combined use of nonintrusive monitoring techniques and energy recipes to reduce energy hungry behaviours. 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronic Engineers IEEE, 2018. pp. 290-296
@inproceedings{798c01a81b0c4777bfd05ea3c870bffa,
title = "Combined use of nonintrusive monitoring techniques and energy recipes to reduce energy hungry behaviours",
abstract = "The fact that occupant behaviour has a large effect on buildings' energy consumption is well accepted. Occupants affect energy consumption by their behaviours: using lighting, appliances, thermostats etc. and interacting with envelope components such as windows and blinds. During last decades, specific ICT solutions have been developed for addressing behavioural changes toward energy saving and consequently leading to energy conscious occupant behaviours. This paper presents a mean of interaction between sensors and users for tackling behavioural changes toward energy saving in homes. This is based on premade rules and instructions (referred to as recipes), meant for tackling energy hungry everyday life actions. Moreover, it investigates the use of nonintrusive appliance load monitoring (NIALM) system. Among all the available off the shelfs sensors, NIALM seems to be very promising, especially if combined with self-learning algorithms, for detecting energy consumption of electrical appliances. This combination can potentially solve existing constrains: detecting and identifying appliances with very small or continuous electricity consumption or that turn on or turn off slowly. Literature information have been cross checked with home energy consumption monitored data in order to create pre-formulated energy recipes for empowering occupants addressing specific energy hungry behaviours. Besides establishing virtuous occupant behaviours, devoted to a rational and judicious use of energy, the adoption of energy recipes aims to generate critical knowledge about the intrinsic meaning of technical variables.",
keywords = "Energy consumption, home appliances, ICT, NIALM, occupant behaviours",
author = "Francesco Reda and Sami Karjalainen and Mikko Tuomisto",
year = "2018",
month = "2",
day = "2",
doi = "10.1109/ICE.2017.8279901",
language = "English",
volume = "2018-January",
pages = "290--296",
booktitle = "2017 International Conference on Engineering, Technology and Innovation",
publisher = "Institute of Electrical and Electronic Engineers IEEE",
address = "United States",

}

Reda, F, Karjalainen, S & Tuomisto, M 2018, Combined use of nonintrusive monitoring techniques and energy recipes to reduce energy hungry behaviours. in 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. vol. 2018-January, Institute of Electrical and Electronic Engineers IEEE, pp. 290-296, 23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017, Madeira Island, Portugal, 27/06/17. https://doi.org/10.1109/ICE.2017.8279901

Combined use of nonintrusive monitoring techniques and energy recipes to reduce energy hungry behaviours. / Reda, Francesco; Karjalainen, Sami; Tuomisto, Mikko.

2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. Vol. 2018-January Institute of Electrical and Electronic Engineers IEEE, 2018. p. 290-296.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Combined use of nonintrusive monitoring techniques and energy recipes to reduce energy hungry behaviours

AU - Reda, Francesco

AU - Karjalainen, Sami

AU - Tuomisto, Mikko

PY - 2018/2/2

Y1 - 2018/2/2

N2 - The fact that occupant behaviour has a large effect on buildings' energy consumption is well accepted. Occupants affect energy consumption by their behaviours: using lighting, appliances, thermostats etc. and interacting with envelope components such as windows and blinds. During last decades, specific ICT solutions have been developed for addressing behavioural changes toward energy saving and consequently leading to energy conscious occupant behaviours. This paper presents a mean of interaction between sensors and users for tackling behavioural changes toward energy saving in homes. This is based on premade rules and instructions (referred to as recipes), meant for tackling energy hungry everyday life actions. Moreover, it investigates the use of nonintrusive appliance load monitoring (NIALM) system. Among all the available off the shelfs sensors, NIALM seems to be very promising, especially if combined with self-learning algorithms, for detecting energy consumption of electrical appliances. This combination can potentially solve existing constrains: detecting and identifying appliances with very small or continuous electricity consumption or that turn on or turn off slowly. Literature information have been cross checked with home energy consumption monitored data in order to create pre-formulated energy recipes for empowering occupants addressing specific energy hungry behaviours. Besides establishing virtuous occupant behaviours, devoted to a rational and judicious use of energy, the adoption of energy recipes aims to generate critical knowledge about the intrinsic meaning of technical variables.

AB - The fact that occupant behaviour has a large effect on buildings' energy consumption is well accepted. Occupants affect energy consumption by their behaviours: using lighting, appliances, thermostats etc. and interacting with envelope components such as windows and blinds. During last decades, specific ICT solutions have been developed for addressing behavioural changes toward energy saving and consequently leading to energy conscious occupant behaviours. This paper presents a mean of interaction between sensors and users for tackling behavioural changes toward energy saving in homes. This is based on premade rules and instructions (referred to as recipes), meant for tackling energy hungry everyday life actions. Moreover, it investigates the use of nonintrusive appliance load monitoring (NIALM) system. Among all the available off the shelfs sensors, NIALM seems to be very promising, especially if combined with self-learning algorithms, for detecting energy consumption of electrical appliances. This combination can potentially solve existing constrains: detecting and identifying appliances with very small or continuous electricity consumption or that turn on or turn off slowly. Literature information have been cross checked with home energy consumption monitored data in order to create pre-formulated energy recipes for empowering occupants addressing specific energy hungry behaviours. Besides establishing virtuous occupant behaviours, devoted to a rational and judicious use of energy, the adoption of energy recipes aims to generate critical knowledge about the intrinsic meaning of technical variables.

KW - Energy consumption

KW - home appliances

KW - ICT

KW - NIALM

KW - occupant behaviours

UR - http://www.scopus.com/inward/record.url?scp=85047510717&partnerID=8YFLogxK

U2 - 10.1109/ICE.2017.8279901

DO - 10.1109/ICE.2017.8279901

M3 - Conference article in proceedings

VL - 2018-January

SP - 290

EP - 296

BT - 2017 International Conference on Engineering, Technology and Innovation

PB - Institute of Electrical and Electronic Engineers IEEE

ER -

Reda F, Karjalainen S, Tuomisto M. Combined use of nonintrusive monitoring techniques and energy recipes to reduce energy hungry behaviours. In 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. Vol. 2018-January. Institute of Electrical and Electronic Engineers IEEE. 2018. p. 290-296 https://doi.org/10.1109/ICE.2017.8279901