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 in2024 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
LanguageEnglish
Published IEEE 22.03.2024
Subjects
Electric potential
electrical signal
Energy efficiency
Green products
phototransistors
Quantum computing
Rail transportation
rechargeable battery
Renewable energy sources
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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