Improving Energy Systems with Intelligent Solutions
Abstract
This paper explores the improvement of energy systems through intelligent solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is transforming traditional energy practices, including power generation, distribution, and consumption. The study highlights the application of AI techniques such as predictive maintenance, demand forecasting, and energy optimization in enhancing reliability, efficiency, and sustainability in energy systems. Additionally, it discusses the integration of AI with smart grids, renewable energy sources, and energy storage technologies to enable real-time monitoring, grid balancing, and demand-side management. The paper also addresses challenges such as grid resilience, cybersecurity, and regulatory compliance in the adoption of AI-driven engineering solutions in energy. It emphasizes the importance of collaboration, innovation, and policy support in leveraging AI's potential to improve energy access, affordability, and environmental stewardship.
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References
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