Titlebook: Decision Making Using AI in Energy and Sustainability; Methods and Models f Gülgün Kayakutlu,M. ?zgür Kayalica Book 2023 The Editor(s) (if

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協(xié)定

Book 2023scenarios are studied in the energy world and the smart systems for sustainability. The contents of this book are valuable for energy researchers, academics, scholars, practitioners and policy makers. .

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Structure and Technical Requirementsred from real-production of a multinational food manufacturer and machine learning algorithms were applied. The study provides an energy efficiency of 5–6% for a single machine which consumes 35–45% of the total energy spending of the entire factory.

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Energy Efficiency Optimization Application in Food Production Using IIOT Based Machine Learningred from real-production of a multinational food manufacturer and machine learning algorithms were applied. The study provides an energy efficiency of 5–6% for a single machine which consumes 35–45% of the total energy spending of the entire factory.

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Dirk Bartz,Michael Mei?ner,Gordon Müllerzed based on simplicial complexes, topological objects. We present a tool named Hype developed to compute simplicial complexes and Q-analysis, a method that analyzes the structural connectivity of the simplicial complexes. Finally, an application is presented to compute the profile of the city of Paris based on data publicly available.

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Climate Change – Can AI Help Understanding and More Effective Facing of Various Interrelated Impactsge and their interactions with each other. This deep understanding is vital for the selection of suited techniques to address them simultaneously using a system and holistic approach. Inspired by Strategic Knowledge Management, an assessment for evaluation of the current situation and measuring the progress is proposed and prototyped.