相關主題
商品描述
An illuminating and up-to-date exploration of the latest advances in AI-empowered smart energy systems
In Artificial Intelligence Empowered Smart Energy Systems, the editors along with a team of distinguished researchers deliver an original and comprehensive discussion of artificial intelligence enabled smart energy systems. The book offers a deep dive into AI's integration with energy, examining critical topics like renewable energy forecasting, load monitoring, fault diagnosis, resilience-oriented optimization, and efficiency-driven control.
The contributors discuss the real-world applications of AI in smart energy systems, showing you AI's transformative effects on energy landscapes. It provides practical solutions and strategies to address complicated problems in energy systems.
The book also includes:
- A thorough introduction to cybersecurity, privacy, and virtual power plants
- Comprehensive demonstrations of the effective leveraging of AI technologies in energy systems
- Practical discussions of the potential of AI to create sustainable, efficient, and resilient energy systems
- Detailed case studies and real-world examples of AI's implementation in smart energy systems
Perfect for researchers, data scientists, and policymakers, Artificial Intelligence Empowered Smart Energy Systems will also benefit graduate and senior undergraduate students in both the tech and energy industries.
商品描述(中文翻譯)
一部關於AI驅動智慧能源系統最新進展的啟發性與時俱進的探索
在人工智慧驅動的智慧能源系統一書中，編輯與一群傑出的研究者提供了關於人工智慧啟用的智慧能源系統的原創且全面的討論。該書深入探討了人工智慧與能源的整合，檢視了如可再生能源預測、負載監控、故障診斷、以韌性為導向的優化及以效率為驅動的控制等關鍵主題。
貢獻者討論了人工智慧在智慧能源系統中的實際應用，展示了人工智慧對能源格局的變革性影響。它提供了針對能源系統中複雜問題的實用解決方案和策略。
該書還包括：
- 對網路安全、隱私和虛擬電廠的全面介紹
- 有效利用人工智慧技術於能源系統的綜合示範
- 對人工智慧在創造可持續、高效和韌性能源系統潛力的實用討論
- 人工智慧在智慧能源系統中實施的詳細案例研究和實際範例
人工智慧驅動的智慧能源系統非常適合研究人員、數據科學家和政策制定者，對於科技和能源產業的研究生及高年級本科生也將大有裨益。
作者簡介
Qiang Yang, PhD, is a Full Professor at the College of Electrical Engineering at Zhejiang University, China. He is a Senior Member of the IEEE and a Distinguished Member of the China Computer Federation. His primary research interests include smart energy systems, learning-based optimization and control.
Gang Huang, PhD, is an Assistant Professor at the College of Electrical Engineering at Zhejiang University, China. He is a Senior Member of the IEEE and a Senior Member of the China Computer Federation. His primary research interests include artificial intelligence for power and energy systems.
作者簡介(中文翻譯)
楊強博士是中國浙江大學電氣工程學院的正教授。他是IEEE的資深會員及中國計算機學會的傑出會員。他的主要研究興趣包括智慧能源系統、基於學習的優化與控制。
黃剛博士是中國浙江大學電氣工程學院的助理教授。他是IEEE的資深會員及中國計算機學會的資深會員。他的主要研究興趣包括用於電力和能源系統的人工智慧。
