AI-Powered Smart Grid Systems for Sustainable Energy Distribution

Authors: Ravi Kumar Perumallapalli

Country: USA

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Abstract: By increasing resilience, maximizing efficiency, and facilitating the switch to renewable energy sources, the incorporation of artificial intelligence (AI) into smart grid systems holds the potential to completely transform the distribution of sustainable energy. Predictive analytics and real-time decision-making made possible by AI technologies enable grid operators to dynamically manage energy resources, reduce waste, and maintain dependability even in the face of shifting supply and demand trends. This study examines how artificial intelligence (AI) can be used to improve the smart grid's capacity to accommodate renewable energy sources while addressing issues with resilience, scalability, and customer engagement.
The study showcases how artificial intelligence (AI) may bridge the gap between energy production and consumption, drawing on important findings from research like. It also explores the AI revolution in India's energy systems, as reported by and, as a basis, examines the function of cognitive security in grid resilience. Using resilience allocation models by and optimization techniques for wind farm layouts by the paper also addresses the technical aspects of grid design for improved sustainability. Finally, the analysis touches on leadership and cross-generational communication within energy sectors as detailed emphasizing the importance of stakeholder engagement in the shift towards AI-driven smart grids. The findings suggest that AI is a key enabler of future smart grid systems, fostering a more resilient and sustainable energy infrastructure.

Keywords: Artificial Intelligence (AI), Smart Grid Systems, Sustainable Energy Distribution, Renewable Energy, Predictive Analytics, Resilience Allocation, Energy Optimization, Cognitive Security, Wind Farm Layout Optimization, Behavioral Reasoning Theory, Cross-Generational Leadership, Stakeholder Engagement, Grid Scalability, AI-Driven Energy Systems, Energy Infrastructure

Paper Id: 231507

Published On: 2016-01-04

Published In: Volume 4, Issue 1, January-February 2016

Cite This: AI-Powered Smart Grid Systems for Sustainable Energy Distribution - Ravi Kumar Perumallapalli - IJIRMPS Volume 4, Issue 1, January-February 2016.

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