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  1. Advances of Artificial Intelligence in a Green Energy Environment

    London ; San Diego, CA : Academic Press, an imprint of Elsevier, [2022]

    Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide. This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern. Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy. Covering state-of-the-art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the AI industry.

    Online ScienceDirect

  2. Advances in metaheuristics : applications in engineering systems

    Ganesan, Timothy
    Boca Raton : CRC Press, [2017]

    Online CRCnetBASE

  3. International conference on power control and optimization [electronic resource] : innovation in power control for optimal industry : Chiang Mai, Thailand 18-20 July 2008

    Melville, N.Y. : American Institute of Physics, c2008.

    All papers have been peer-reviewed. The platform is the aim of this conference for all researchers, engineers, practitioners, academicians, students and industrial professionals sharing to present their research results and development activities in the area of power control and its optimization techniques. We trust that the theme of the conference 'Innovation in power and control for optimal industry' provides emulation between the researchers in their practical results as it relates to the industrial need. This platform brings together researchers working on the development of techniques and methodologies to improve the performance of power system and control systems for optimal industry, as well as the computational intelligent, evolutionary algorithms, and hybrid system optimization.



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