Enhancing Energy Efficiency via Artificial Intelligence

• 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
• DOI: 10.1109/TQCEBT59414.2024.10545095

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.