Abstract
This study provides a comprehensive analysis of the integration and impact of smart grids in the industrial sector, focusing on the evolution from traditional grids, the role of predictive maintenance, and the integration of renewable energy sources. The primary objectives were to understand how smart grids are reshaping industrial energy management and to assess their impact on efficiency, sustainability, and operational practices. A systematic literature review was employed as the methodology, utilizing electronic databases and academic journals to gather relevant literature from 2018 to 2023. The search strategy involved keywords related to smart grids, predictive maintenance, and renewable energy integration. Inclusion and exclusion criteria were established to ensure the relevance of the selected literature, which was then thematically synthesized to identify key trends and insights. Key findings indicate that smart grids mark a significant shift in energy management, offering enhanced efficiency, reliability, and sustainability. The integration of renewable energy sources addresses challenges like intermittency, contributing to environmental sustainability. Predictive maintenance within smart grids has emerged as a crucial strategy for improving operational efficiency and reducing maintenance costs. The study also highlights the economic and environmental impacts of smart grid technologies, underscoring their potential in promoting sustainable industrial practices. Finally, smart grids represent a pivotal advancement in industrial energy management. The study recommends continued innovation and strategic implementation to realize their full potential, with future research focusing on AI applications, emerging renewable sources, and policy frameworks in smart grid technologies.
 Keywords: Smart Grids, Predictive Maintenance, Renewable Energy, Industrial Efficiency.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
