Intelligent Urban Systems: Iot-Driven Energy Management and Smart City Optimization: Volume 1
暫譯: 智慧城市系統：IoT 驅動的能源管理與智慧城市最佳化：第 1 卷

Hatti, Mustapha

Intelligent Urban Systems: Iot-Driven Energy Management and Smart City Optimization: Volume 1

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商品描述

This comprehensive volume delivers cutting-edge solutions for integrating artificial intelligence into renewable energy systems, addressing critical challenges in sustainable energy transition. Readers will discover innovative approaches to optimizing photovoltaic systems, wind energy conversion, smart grids, and hybrid energy storage through advanced machine learning algorithms and intelligent control strategies.

The book presents practical applications spanning MPPT optimization techniques, predictive maintenance using SCADA data, IoT-based monitoring systems, and AI-driven fault detection in power electronics. Contributors explore emerging topics including green hydrogen production, electric vehicle control systems, energy forecasting with deep learning, and autonomous microgrid management. Special emphasis is placed on real-world implementations tested in diverse environmental conditions.

Featuring contributions from leading international researchers and practitioners, this work bridges the gap between academic research and industrial application. Engineers, researchers, and graduate students working in renewable energy, power systems, and artificial intelligence will find invaluable insights for developing efficient, resilient, and sustainable energy solutions that meet urgent climate and energy security challenges.

商品描述(中文翻譯)

本綜合性著作提供將人工智慧整合至再生能源系統的前沿解決方案，致力於解決永續能源轉型所面臨的關鍵挑戰。讀者將了解如何透過先進的機器學習演算法與智慧控制策略，最佳化光電系統、風能轉換、智慧電網及混合式儲能系統。

本書介紹多項實務應用，涵蓋最大功率點追蹤（MPPT）最佳化技術、運用 SCADA 資料進行預測性維護、以 IoT 為基礎的監測系統，以及由 AI 驅動的電力電子故障偵測。各篇內容也探討綠氫生產、電動車控制系統、運用深度學習進行能源預測，以及微電網自主管理等新興主題。本書特別著重於在多元環境條件下經過測試的實際應用。

本書集結國際頂尖研究人員與實務專家的貢獻， bridging academic research and industrial application. Engineers, researchers, and graduate students working in renewable energy, power systems, and artificial intelligence will find invaluable insights for developing efficient, resilient, and sustainable energy solutions that meet urgent climate and energy security challenges.

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