Optimizing Atmospheric Water Generation Through Advanced Weather Prediction Using Solar Energy Data

Dar, Eman, Rana, Khadija, Hussain, Muhammad Zannurain, Zulkifl Hasan, Muhammad, Khalid, Aqsa, Javaid, Arslan, Altaf, Jawad, Sattar, Basit, Chuhan, Saad Hussain, Atif Yaqub, Muhammad, Qureshi, Ali Moiz and Mubarak, Zaima (2024) Optimizing Atmospheric Water Generation Through Advanced Weather Prediction Using Solar Energy Data. In: 2024 IEEE 9th International Conference for Convergence in Technology (I2CT). IEEE, Pune, India, pp. 1-8. ISBN 979-8-3503-9445-0

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Abstract

This research focuses on enhancing the efficiency of Atmospheric Water Generation (AWG) systems through the development of an accurate weather prediction model. Leveraging solar energy data, the project aims to forecast key weather parameters such as solar radiation, temperature, and humidity. The objective is to optimize the performance of the AWG device across diverse weather conditions. By integrating advanced weather prediction, the study endeavors to enable proactive adjustments in the AWG operation, ensuring optimal water production. This research contributes to the sustainable utilization of solar energy for atmospheric water generation, addressing water scarcity challenges with a forward-thinking and adaptive approach.

Item Type:	Book Section
Uncontrolled Keywords:	AWG; utilization; Water production; weather parameters
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > TC Hydraulic engineering. Ocean engineering H Social Sciences > HC Economic History and Conditions > Natural resources > Power resources
Divisions:	School of Computing
Depositing User:	Tamara Malone
Date Deposited:	19 Jun 2025 15:33
Last Modified:	19 Jun 2025 15:33
URI:	https://norma.ncirl.ie/id/eprint/7943

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