E-ISSN: 2230-7982 | P-ISSN: 2321–5186 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access
Journal of Alternate Energy Sources & Technologies Journal of Alternate Energy Sources & Technologies [2230-7982(e)] is a peer-reviewed hybrid open access journal launched in 2011 and seeks to promote and disseminate knowledge of the various topics and technologies of renewable energy/green …
joaest maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.
This paper presents a study on an AI-based energy management system, which is designed for real-time monitoring of energy consumption for theft detection and energy demand prediction.
This paper presents the design and development of a dual-axis solar tracking system using a stepper motor and light- dependent sensors to maximize solar energy capture.
The rapid depletion of non-renewable energy resources and the rising demand for sustainable alternatives have led to the exploration of innovative energy harvesting technologies. One such approach is harnessing the untapped mechanical energy produced by human footfalls in crowded public areas.
Waste-to-energy technologies are currently under scrutiny due to the rising demand for sustainable energy solutions. This paper discusses the design and implementation of an automated entry door system powered by waste-to- electricity technology.
Compared to conventional solar cells, quantum dot solar cells (QDSCs) have drawn a lot of attention due to their hybrid structure, low production cost, and greater power conversion efficiency.
In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques
