Ultraviolet Radiation Index Prediction in India Using Artificial Neural Network

Authors

Sunil K. Sahu
School of Science, ISBM University, Nawapara (Kosmi) Block & Tehsil-Chhura, Gariyaband 493996
Manish Gupta
School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, Po Box 123, Broadway NSW 2007
N Kumar Swamy
School of Science, ISBM University, Nawapara (Kosmi) Block & Tehsil-Chhura, Gariyaband 493996
Dinesh Bisht
Jaypee Institute of Information Technology, Noida

Synopsis

Sunlight has a significant effect on human health. It is well recognised that the Ultraviolet (UV) spectrum affects our bodies in several ways, including lowering energy and triggering biological processes. In this work, the authors developed an Artificial Neural Network (ANN) based model for the prediction of India's UV radiation index. The average daily UV radiation index from the period 2015 to 2023 has been used as the output parameter, while the average daily cloud cover, humidity, and air quality index have been used as the input. Moreover, a comparative study of various ANN models has been presented to determine the best one.

RAMSA 2024
Published
February 29, 2024