Innovations in Energy Management and Sustainable Solutions
Abstract
This paper explores the innovations in energy management and sustainable solutions driven by AI-driven engineering. Through case studies and research insights, it examines how artificial intelligence is revolutionizing traditional energy systems, 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 operational efficiency, reducing carbon emissions, and promoting renewable energy integration. Additionally, it discusses the integration of AI with smart grids, energy storage systems, and building automation to enable real-time monitoring and adaptive control of energy resources. The paper also addresses challenges such as grid reliability, cybersecurity, and regulatory frameworks in the adoption of AI-driven engineering solutions in the energy sector. It emphasizes the importance of collaboration between energy providers, policymakers, and technology innovators to accelerate the transition towards a sustainable and resilient energy future.
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References
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