Title:
Artificial Intelligence Integration Driven Smart Grid Alternative Transforming the Future With Renewable, and Non-renewable Energy Sources

Authors:
Dr. B. Zohuri and Dr. F. Mossavar-Rahmani, USA

Abstract:

The evolving energy landscape necessitates a paradigm shift towards more sustainable, efficient, and resilient systems. This article explores integrating renewable and non-renewable energy sources within Smart Grid alternatives, highlighting the transformative role of Artificial Intelligence (AI). Renewable sources, like solar and wind, are essential for reducing carbon emissions but present challenges due to their intermittent nature. Non-renewable sources provide stability, ensuring a consistent power supply. AI's capabilities in predictive maintenance, demand response, energy forecasting, and grid optimization enhance grid efficiency and adaptability, facilitating the seamless integration of diverse energy inputs. Essential components of stand-alone systems, including batteries, charge controllers, and power conditioning equipment, are also examined for their contributions to system robustness and reliability. The Smart Grid, supported by AI and advanced technologies, represents a reimagined energy infrastructure poised to meet modern demands while promoting sustainability and resilience. This holistic approach promises a secure energy future, balancing efficiency with environmental stewardship.

DOI: http://dx.doi.org/10.51505/ijaemr.2024.9402