PoC intelligent IoT based HVAC controller

Tarek Elarabi; Steven Roote

doi:10.1109/ICSIGSYS.2018.8372645

PoC intelligent IoT based HVAC controller

Tarek Elarabi, Steven Roote

School of Engineering (Behrend)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This research focuses on designing Proof-of-Concept (PoC) for the proposed Intelligent HVAC Thermostat Control System Algorithm. The proposed design involves the use of a network based occupancy algorithm, which accurately tracks the location of residents in the real estate properties. The proposed occupancy model is necessary for accurately tracking the location of residents for use in the control algorithm. For comparison, this design was simulated with an identical design omitting the peripheral sensors, occupancy modeling and resident distance tracking. The simulation results showed that the proposed system is significantly more power efficient than the conventional model.

Original language	English (US)
Title of host publication	2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538656891
DOIs	https://doi.org/10.1109/ICSIGSYS.2018.8372645
State	Published - Jun 4 2018
Event	2nd International Conference on Signals and Systems, ICSigSys 2018 - Bali, Indonesia Duration: May 1 2018 → May 3 2018

Publication series

Name	2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings

Other

Other	2nd International Conference on Signals and Systems, ICSigSys 2018
Country/Territory	Indonesia
City	Bali
Period	5/1/18 → 5/3/18

All Science Journal Classification (ASJC) codes

Signal Processing
Radiology Nuclear Medicine and imaging
Instrumentation

Access to Document

10.1109/ICSIGSYS.2018.8372645

Cite this

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title = "PoC intelligent IoT based HVAC controller",

abstract = "This research focuses on designing Proof-of-Concept (PoC) for the proposed Intelligent HVAC Thermostat Control System Algorithm. The proposed design involves the use of a network based occupancy algorithm, which accurately tracks the location of residents in the real estate properties. The proposed occupancy model is necessary for accurately tracking the location of residents for use in the control algorithm. For comparison, this design was simulated with an identical design omitting the peripheral sensors, occupancy modeling and resident distance tracking. The simulation results showed that the proposed system is significantly more power efficient than the conventional model.",

author = "Tarek Elarabi and Steven Roote",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2nd International Conference on Signals and Systems, ICSigSys 2018 ; Conference date: 01-05-2018 Through 03-05-2018",

year = "2018",

month = jun,

day = "4",

doi = "10.1109/ICSIGSYS.2018.8372645",

language = "English (US)",

series = "2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings",

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

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booktitle = "2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings",

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}

Elarabi, T & Roote, S 2018, PoC intelligent IoT based HVAC controller. in 2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings. 2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2nd International Conference on Signals and Systems, ICSigSys 2018, Bali, Indonesia, 5/1/18. https://doi.org/10.1109/ICSIGSYS.2018.8372645

PoC intelligent IoT based HVAC controller. / Elarabi, Tarek; Roote, Steven.
2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6 (2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - PoC intelligent IoT based HVAC controller

AU - Elarabi, Tarek

AU - Roote, Steven

PY - 2018/6/4

Y1 - 2018/6/4

N2 - This research focuses on designing Proof-of-Concept (PoC) for the proposed Intelligent HVAC Thermostat Control System Algorithm. The proposed design involves the use of a network based occupancy algorithm, which accurately tracks the location of residents in the real estate properties. The proposed occupancy model is necessary for accurately tracking the location of residents for use in the control algorithm. For comparison, this design was simulated with an identical design omitting the peripheral sensors, occupancy modeling and resident distance tracking. The simulation results showed that the proposed system is significantly more power efficient than the conventional model.

AB - This research focuses on designing Proof-of-Concept (PoC) for the proposed Intelligent HVAC Thermostat Control System Algorithm. The proposed design involves the use of a network based occupancy algorithm, which accurately tracks the location of residents in the real estate properties. The proposed occupancy model is necessary for accurately tracking the location of residents for use in the control algorithm. For comparison, this design was simulated with an identical design omitting the peripheral sensors, occupancy modeling and resident distance tracking. The simulation results showed that the proposed system is significantly more power efficient than the conventional model.

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BT - 2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Signals and Systems, ICSigSys 2018

Y2 - 1 May 2018 through 3 May 2018

ER -

PoC intelligent IoT based HVAC controller

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All Science Journal Classification (ASJC) codes

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