Design and Optimization of a Solar-Powered Smart Manufacturing Unit  Using AI-Based Load Prediction

Dr Jyoti Prakash,Dr Ayush Mittal, Shivakar Prasad , Dr Ramesh Kumar Verma, Dr Rakesh Verma

Design and Optimization of a Solar-Powered Smart Manufacturing Unit Using AI-Based Load Prediction

Authors

Dr Jyoti Prakash,Dr Ayush Mittal, Shivakar Prasad , Dr Ramesh Kumar Verma, Dr Rakesh Verma

Keywords:

Solar energy, smart manufacturing, AI load prediction, LSTM networks, energy optimization, renewable energy integration, Industry 4.0

Abstract

The increasing demand for sustainable manufacturing practices has driven the integration ofrenewable energy sources into industrial operations. This research presents the design andoptimization of a solar-powered smart manufacturing unit incorporating artificial intelligence-based load prediction algorithms

References

Anderson, K.R. and Garcia, M.S. (2023) 'Integration of battery storage systems with solar photovoltaic installations in industrial facilities: Technical and economic considerations', Journal of Energy Storage, 45(3), pp. 387-402.

Downloads

Published

2023-01-20

How to Cite

Dr Jyoti Prakash,Dr Ayush Mittal, Shivakar Prasad , Dr Ramesh Kumar Verma, Dr Rakesh Verma. (2023). Design and Optimization of a Solar-Powered Smart Manufacturing Unit Using AI-Based Load Prediction . Journal of Computational Analysis and Applications (JoCAAA), 31(1), 1424–1437. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4466