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Titlebook: Recent Advances in Sustainable Energy and Intelligent Systems; 7th International Co Kang Li,Tim Coombs,Zhile Yang Conference proceedings 20

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樓主: Kennedy
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發(fā)表于 2025-3-23 12:56:18 | 只看該作者
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發(fā)表于 2025-3-23 14:28:28 | 只看該作者
Wei Li,Sizhe Zhao,Kang Li,Yi Xing,Gaofeng Liu,Jilong Liuinige werden mit wenigen Teilnehmern durchgeführt, andere mit gro?en Gruppen; einige werden mit Schülern gespielt, andere mit Berufst?tigen. Wir wissen jedoch nur wenig darüber, wie diese Kontextvariablen die Verhandlungsergebnisse von Simulationen beeinflussen. Dieser Artikel schlie?t diese Forschu
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發(fā)表于 2025-3-23 20:46:02 | 只看該作者
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發(fā)表于 2025-3-23 22:54:28 | 只看該作者
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發(fā)表于 2025-3-24 05:37:17 | 只看該作者
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發(fā)表于 2025-3-24 09:59:54 | 只看該作者
Robot Platform for Live Working in Distribution Networkd. This paper proposes a hybrid arm-based live-line auxiliary working robot for live working in a distribution network. One-button automatic leveling can be achieved by applying remote control and local autonomy strategies. The mechanical and electrical properties of the composite insulating arm are
17#
發(fā)表于 2025-3-24 14:39:48 | 只看該作者
A Novel Optimization Algorithm for Solving Parameters Identification of Battery Modelf the battery model in BESS will affect its output, so extract the parameters accurately is essential. In order to extract the parameters of the battery model, an improved JAYA (IJAYA) optimization algorithm is presented. In IJAYA, a self-adaptive weight, an experience-based learning strategy, and a
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發(fā)表于 2025-3-24 15:24:58 | 只看該作者
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發(fā)表于 2025-3-24 20:16:34 | 只看該作者
Study on the Prediction of Indoor Temperature and Thermal Load on Different Floors in a Communityct the thermal load (.) in a community. In this paper, we focus on cross-floor prediction over a week for three thermal users located on different floors. Three machine learning methods including Back Propagation Neural Network (BPNN), Extreme Learning Machine (ELM), and Support Vector Machines (SVM
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發(fā)表于 2025-3-25 02:13:58 | 只看該作者
Multi-objective Optimization of Electric Vehicle and Unit Commitment Considering Users Satisfaction:nsidered, formulating a many objective problem. The objectives involve economic and environmental impact, carbon emission as well as the user satisfaction. To solve this multi-objective problem, an improved MOEA/D algorithm is proposed where levy flight is integrated to improve the algorithm perform
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