Smart Home Automation Tool for Energy Conservation
Vivek Shahare1, Nitin Arora2, Ahatsham3, Anupam Singh4, Nidhi Mouje5
1Vivek Shahare*, School of Computer Science, University of Petroleum & Energy Studies (UPES), Dehradun, India.
2Nitin Arora, School of Computer Science, University of Petroleum & Energy Studies (UPES), Dehradun, India.
3Ahatsham, School of Computer Science, University of Petroleum & Energy Studies (UPES), Dehradun, India.
4Anupam Singh, School of Computer Science, University of Petroleum & Energy Studies (UPES), Dehradun, India.
5Nidhi Mouje, Reknot Solutions Private Limited, Mumbai, India.

Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 5312-5215 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7523118419/2019©BEIESP | DOI: 10.35940/ijrte.D7523.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In an era of SMART BUILDING, SMART HOUSES, this project came up with an idea of building a smart device which works smartly on some level. The system always tried to use the resources in a way that it should be conserved and should also not disturb current need and fulfil it. In order to come up with a solution which will not only conserve the energy resources but will also be an assistant with its control over the device. The system using Arduino paired with sensors and bunch of algorithms which will help in controlling the device and the device which is to be controlled with this controller will be an Air Conditioner. Using the data analysis of different aspects of weather conditions and timings and will train controller to control the device with solving the W’s of the situation i.e. How, When, Why and Where. The device will automatically control the air conditioner like when to power on and off, like on what temperature the AC should be and more.
Keywords: Home Automation, Energy Conservation, Machine Learning, Sensor, Controller.
Scope of the Article: Machine Learning.