Enhancing Energy Efficiency via Artificial Intelligence

This paper proposes the development of a series of phototransistors capable of converting light energy into electrical energy, which can be stored and utilized for various purposes. In regions where solar devices are ineffective due to absence of sunlight or during power cuts, this alternative energ...

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Bibliographic Details
Published in:	2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies pp. 1 - 6
Main Authors:	Anitha, G., Manoharan, Hariprasath, Manoharan, Abirami, Selvarajan, Shitharth, Reddy, Chengalapattu Jithendar, M, Poorna Saai, Alyoubi, Khaled H.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22-03-2024
Subjects:	Electric potential electrical signal Energy efficiency Green products phototransistors Quantum computing Rail transportation rechargeable battery Renewable energy sources
Online Access:	Get full text
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Summary:	This paper proposes the development of a series of phototransistors capable of converting light energy into electrical energy, which can be stored and utilized for various purposes. In regions where solar devices are ineffective due to absence of sunlight or during power cuts, this alternative energy source can be employed effectively. By harnessing ambient light, these phototransistors offer a sustainable solution for indoor environments such as pubs and indoor stadiums where traditional power sources may be unreliable. The project involves thorough background study including research on phototransistor technology, energy storage methods, and potential applications in different settings. Implementation of this technology could significantly contribute to reducing dependency on conventional power sources and promoting energy efficiency in various indoor spaces.
DOI:	10.1109/TQCEBT59414.2024.10545095