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A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces

User behaviour and choice is a significant parameter in the consumption patterns of energy in the built environment. This paper introduces a behavior-based approach for developing smart energy applications. With the rapid development of wireless sensor networks and the Internet of Things (IoT), huma...

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Autores principales: Chang, Teng-Wen, Huang, Hsin-Yi, Hung, Chung-Wen, Datta, Sambit, McMinn, Terrance
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582833/
https://www.ncbi.nlm.nih.gov/pubmed/32992965
http://dx.doi.org/10.3390/s20195507
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author Chang, Teng-Wen
Huang, Hsin-Yi
Hung, Chung-Wen
Datta, Sambit
McMinn, Terrance
author_facet Chang, Teng-Wen
Huang, Hsin-Yi
Hung, Chung-Wen
Datta, Sambit
McMinn, Terrance
author_sort Chang, Teng-Wen
collection PubMed
description User behaviour and choice is a significant parameter in the consumption patterns of energy in the built environment. This paper introduces a behavior-based approach for developing smart energy applications. With the rapid development of wireless sensor networks and the Internet of Things (IoT), human-computer interfaces can be created through the mapping of user experiences. These applications can provide users with dynamic feedback on their energy consumption patterns in their built environment. The paper describes a “Sensible Energy System” (SENS) that is based on user experience design methods with sensor network technology. Through SENS, solar energy simulation is combined with device consumption data in order to achieve an IoT network to facilitate the interaction between user behaviors and electricity consumption. The interaction between users and devices through SENS can not only optimize power consumption, but also provide consumers with additional choice and dynamic decision making regarding their consumption. This article provides an (1) understanding and analysis of users’ spatial interaction, explains the (2) planning of the new smart environment design and user experiences, discusses (3) designing a suitable Wireless sensor network (WSN) agent and energy connection, describes (4) the information that has been collected, and (5) incorporates a rooftop solar potential simulation for predicting energy outputs into the sensor network model.
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spelling pubmed-75828332020-10-28 A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces Chang, Teng-Wen Huang, Hsin-Yi Hung, Chung-Wen Datta, Sambit McMinn, Terrance Sensors (Basel) Article User behaviour and choice is a significant parameter in the consumption patterns of energy in the built environment. This paper introduces a behavior-based approach for developing smart energy applications. With the rapid development of wireless sensor networks and the Internet of Things (IoT), human-computer interfaces can be created through the mapping of user experiences. These applications can provide users with dynamic feedback on their energy consumption patterns in their built environment. The paper describes a “Sensible Energy System” (SENS) that is based on user experience design methods with sensor network technology. Through SENS, solar energy simulation is combined with device consumption data in order to achieve an IoT network to facilitate the interaction between user behaviors and electricity consumption. The interaction between users and devices through SENS can not only optimize power consumption, but also provide consumers with additional choice and dynamic decision making regarding their consumption. This article provides an (1) understanding and analysis of users’ spatial interaction, explains the (2) planning of the new smart environment design and user experiences, discusses (3) designing a suitable Wireless sensor network (WSN) agent and energy connection, describes (4) the information that has been collected, and (5) incorporates a rooftop solar potential simulation for predicting energy outputs into the sensor network model. MDPI 2020-09-25 /pmc/articles/PMC7582833/ /pubmed/32992965 http://dx.doi.org/10.3390/s20195507 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chang, Teng-Wen
Huang, Hsin-Yi
Hung, Chung-Wen
Datta, Sambit
McMinn, Terrance
A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces
title A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces
title_full A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces
title_fullStr A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces
title_full_unstemmed A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces
title_short A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces
title_sort network sensor fusion approach for a behaviour-based smart energy environment for co-making spaces
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582833/
https://www.ncbi.nlm.nih.gov/pubmed/32992965
http://dx.doi.org/10.3390/s20195507
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