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Titlebook: Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities; Case Study: Tipasa, Mustapha Hatti Conference proceedi

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發(fā)表于 2025-3-21 19:17:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities
期刊簡(jiǎn)稱Case Study: Tipasa,
影響因子2023Mustapha Hatti
視頻videohttp://file.papertrans.cn/163/162212/162212.mp4
發(fā)行地址Includes recent research on artificial intelligence in renewable energetic systems.Features the proceedings of the 5th International Conference on Artificial Intelligence in Renewable Energetic System
學(xué)科分類Lecture Notes in Networks and Systems
圖書封面Titlebook: Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities; Case Study: Tipasa,  Mustapha Hatti Conference proceedi
影響因子This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, andstudents. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innov
Pindex Conference proceedings 2022
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Dimitrij Mleku? Vrhovnik,Toma? Fabecout under a fast change of irradiance and temperature, also, under four different patterns of partial shading (PS). The simulation results have revealed that the proposed controller can find the Global Maximum Power Point (GMPP) with high efficiency, high speed, and presents a good dynamic behaviour.
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Tja?a Tolar,Philip Mason,Bine Krambergert (INC). The simulations are performed under Matlab/Simulink? software, the obtained results are very satisfactory, the proposed system (FLC-PO), demonstrates a good robustness and performs outstandingly under fast irradiance changing conditions compared with the P&O and INC methods.
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2367-3370 nce on Artificial Intelligence in Renewable Energetic SystemThis book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for ar
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Optimization of Distributed Mean-Level CFAR Detectors Using GA and PSO Algorithms Gaussian clutter considering identical and non-identical CFAR detectors. The obtained results showed that the PSO optimization technique gives better performance than the GA in the case of non-identical CFAR detectors, and the “OR” fusion rule provides the best performance.
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