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2020 IEEE International Conference on Information Technologies

Artificial Intelligence in Renewable Energy Systems Based on Smart Energy House

Saiful Islam
Lukasz Rojek
Michael Hartmann
Goran Rafajlovski
SRH Berlin University of Applied Sciences, Berlin
Germany
Abstract:

This paper develops a feasibility study to identify the problem regarding energy efficiency house and implementation of the home automation system in that. Therefore, the possibilities were profoundly analyzed to determine the key points which were necessary to that project. Energy efficiency can play a significant role in reducing electrical cost, and the attachment of Smart Energy House made the idea more unique and challenging to implement it. Furthermore, the possibilities were analyzed and successfully demonstrated with a view to reducing the temperature impact and minimizing the effect in the power source by controlling the connected load into the system.

Key words:
IoT
Raspberry pi
DHT11
Ultrasonic
relay