Improving energy consumption of commercial building with IoT and machine learning

Abbas Javed; Hadi Larijani; Andrew Wixted

doi:10.1109/MITP.2018.053891335

Improving energy consumption of commercial building with IoT and machine learning

Abbas Javed, Hadi Larijani, Andrew Wixted

Research output: Contribution to journal › Article › peer-review

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Abstract

The critical requirements for devices connected to the Internet of Things (IoT) are long battery life, long coverage range, and low deployment cost. In this work, we developed a machine learning based smart controller for the HVAC of commercial building using LoRa and compared it with short range RF communication in an indoor setting. The comparison was made in terms of battery life, coverage range and memory size. The effect of changing the transmission power of LoRa on battery consumption of the sensor node was also evaluated. Results show that coverage range of LoRa was 60.4% more than short range communication inside a building. The smart controller was capable of identifying when the room was unoccupied and turning off the HVAC which reduced the energy consumption up to 19.8%.

Original language	English
Pages (from-to)	30-38
Number of pages	9
Journal	IT Professional
Volume	20
Issue number	5
DOIs	https://doi.org/10.1109/MITP.2018.053891335
Publication status	Published - 25 Oct 2018

Keywords

energy consumption
commercial building
IoT
Internet of Things
HVAC

Documents and Links

10.1109/MITP.2018.053891335

Javed, A. et al (2018) Improving Energy Consumption of a Commercial Building with IoT and Machine Learning
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Accepted author manuscript, 897 KB

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Cite this

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abstract = "The critical requirements for devices connected to the Internet of Things (IoT) are long battery life, long coverage range, and low deployment cost. In this work, we developed a machine learning based smart controller for the HVAC of commercial building using LoRa and compared it with short range RF communication in an indoor setting. The comparison was made in terms of battery life, coverage range and memory size. The effect of changing the transmission power of LoRa on battery consumption of the sensor node was also evaluated. Results show that coverage range of LoRa was 60.4% more than short range communication inside a building. The smart controller was capable of identifying when the room was unoccupied and turning off the HVAC which reduced the energy consumption up to 19.8%.",

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