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Energy efficient heating systems using IOT and machine learning

Janjanam, Naga Srikanth (2016) Energy efficient heating systems using IOT and machine learning. Masters thesis, Dublin, National College of Ireland.

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District heating is widely used in cold countries and it is a way of maintaining centralised heating systems instead of traditional way of using multiple smaller heating devices. It would reduce the cost of setup, maintenance and also would deliver high efficiency. This research focuses on reducing energy wastage and building energy efficient heating systems in district heating industry. With the help of modern technical advancements, like using IoT, MBus protocols, Radio communications, Java based services, Databases and Machine Learning, it is possible to gather various data points like current customer usage, weather at the customer location, time at the customer location, etc. Such factors can be used with machine learning algorithms to predicted the next 1 hours customer heat requirement and it can be used to build efficient district heating system. An efficient heating system would consume less energy thus reducing energy wastage. So far this method has achieved 88 percent accuracy with this method and it is expected to grow with some future work as mentioned in future works section. Gubbi et al. (2013)

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 30 Jan 2017 09:12
Last Modified: 30 Jan 2017 09:12

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