Abstract
The critical requirements for devices connected to the Internet of Things are long battery life, long coverage range, and low deployment cost. The authors developed a machine-learning-based smart controller for a commercial buildings HVAC (heating, ventilation, and air conditioning) system using LoRa (a long-range, low-power wireless platform) and compared it with short-range RF communication in an indoor setting. Results show that LoRas coverage range was 60.4 percent more than short-range communication inside the building. The smart controller was capable of identifying when a room was unoccupied and turning off the HVAC, reducing its energy consumption up to 19.8 percent.
Original language | English |
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Pages (from-to) | 30-38 |
Number of pages | 9 |
Journal | IT Professional |
Volume | 20 |
Issue number | 5 |
DOIs | |
Publication status | Published - Oct 2018 |
Keywords
- energy consumption
- commercial building
- IoT
- Internet of Things
- HVAC
- reducing energy consumption
- LoRa
- smart controller
- Internet of Things
- machine learning
- artificial intelligence
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Science Applications