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{ "item_title" : "AI-Enhanced Operation and Management of Renewable Energy-Integrated Power Systems", "item_author" : [" Jiaqi Ruan", "Yujia Huang", "Chao Yang "], "item_description" : "This Reprint addresses the emerging paradigm of AI-enhanced operation and management in power systems with high penetration of renewable energy sources. As renewable-rich power systems become increasingly complex and uncertain, AI is poised to reshape traditional operational practices and decision-making processes. The works collated within this Reprint present recent advances in data-driven wind and photovoltaic forecasting, intelligent state estimation and sensing, adaptive and robust scheduling of integrated energy systems, and AI-enabled decision-making for active distribution networks and coupled infrastructures. These studies demonstrate that AI technologies can complement or extend conventional model-based approaches to better manage variability, uncertainty, and scalability challenges. Beyond individual methods, this Reprint highlights a broader shift from static, centralized operation toward adaptive, distributed, and system-aware management frameworks. Several contributions illustrate that AI can integrate heterogeneous information across generation, grids, loads, and external systems, enabling more responsive and low-carbon operational strategies, while others emphasize uncertainty-aware pricing, robust optimization, and voltage or flexibility support aligned with physical and market constraints. By bringing together these perspectives, this Reprint provides a timely overview of how AI-enhanced methodologies are shaping the next generation of renewable-rich power systems.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/72/587/090/372587090X_b.jpg", "price_data" : { "retail_price" : "83.71", "online_price" : "83.71", "our_price" : "83.71", "club_price" : "83.71", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
AI-Enhanced Operation and Management of Renewable Energy-Integrated Power Systems|Jiaqi Ruan

AI-Enhanced Operation and Management of Renewable Energy-Integrated Power Systems

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Overview

This Reprint addresses the emerging paradigm of AI-enhanced operation and management in power systems with high penetration of renewable energy sources. As renewable-rich power systems become increasingly complex and uncertain, AI is poised to reshape traditional operational practices and decision-making processes. The works collated within this Reprint present recent advances in data-driven wind and photovoltaic forecasting, intelligent state estimation and sensing, adaptive and robust scheduling of integrated energy systems, and AI-enabled decision-making for active distribution networks and coupled infrastructures. These studies demonstrate that AI technologies can complement or extend conventional model-based approaches to better manage variability, uncertainty, and scalability challenges. Beyond individual methods, this Reprint highlights a broader shift from static, centralized operation toward adaptive, distributed, and system-aware management frameworks. Several contributions illustrate that AI can integrate heterogeneous information across generation, grids, loads, and external systems, enabling more responsive and low-carbon operational strategies, while others emphasize uncertainty-aware pricing, robust optimization, and voltage or flexibility support aligned with physical and market constraints. By bringing together these perspectives, this Reprint provides a timely overview of how AI-enhanced methodologies are shaping the next generation of renewable-rich power systems.

Details

  • ISBN-13: 9783725870905
  • ISBN-10: 372587090X
  • Publisher: Mdpi AG
  • Publish Date: March 2026
  • Dimensions: 9.61 x 6.69 x 0.63 inches
  • Shipping Weight: 1.32 pounds
  • Page Count: 184

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