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Scenario-based Optimal Real-time Charging Strategy of Electric Vehicles with Bayesian Long Short-term Memory Networks: 《Journal of Modern Power Systems and Clean Energy》2024年第5期1572-1583,共12页Hongtao Ren Chung-Li Tseng Fushuan Wen Chongyu Wang Guoyan Chen Xiao Li; supported in part by the National Natural Science Foundation of China(No.U1910216);in part by the Science and Technology Project of China Southern Power Grid Company Limited(No.080037KK52190039/GZHKJXM20190100)。; Joint operation optimization for electric vehicles(EVs)and on-site or adjacent photovoltaic generation(PVG)are pivotal to maintaining the security and economics of the operation of the power system concerned.Conventio...; 关键词：Bayesian neural network charging strategy electric vehicle(EV) long short-term memory(LSTM) scenario analysis

Artificial Intelligence Based Multi-Scenario mmWave Channel Modeling for Intelligent High-Speed Train Communications: 《China Communications》2024年第3期260-272,共13页Zhang Mengjiao Liu Yu Huang Jie He Ruisi Zhang Jingfan Yu Chongyang Wang Chengxiang; supported by the National Key R&D Program of China under Grant 2021YFB1407001;the National Natural Science Foundation of China (NSFC) under Grants 62001269 and 61960206006;the State Key Laboratory of Rail Traffic Control and Safety (under Grants RCS2022K009);Beijing Jiaotong University, the Future Plan Program for Young Scholars of Shandong University;the EU H2020 RISE TESTBED2 project under Grant 872172; A large amount of mobile data from growing high-speed train(HST)users makes intelligent HST communications enter the era of big data.The corresponding artificial intelligence(AI)based HST channel modeling becomes a tr...; 关键词：artificial intelligence channel characteristic prediction HST channel millimeter wave scenario classification

Enabling artificial intelligence‐based scenario application in new type power systems被引量：2: 《Energy Internet》2024年第1期9-13,共5页Shixiong Fan Jianbo Guo Shicong Ma Guozheng Wang Dongqi Li Zening Zhao; Science and Technology Foundation of State Grid Corporation of China,Grant/Award Number:5100‐202355764A‐3‐5‐YS。; At present,artificial intelligence(AI)technology,as a disruptive and frontier technology,is changing people's production and lifestyle with the cross combination of other sci-entific fields.Under the background of Gre...; 关键词：APPLICATION FRONTIER SUPPORTING

Reasoning Disaster Chains with Bayesian Network Estimated Under Expert Prior Knowledge被引量：1: 《International Journal of Disaster Risk Science》2023年第6期1011-1028,共18页Lida Huang Tao Chen Qing Deng Yuli Zhou; supported by the National Key Research and Development Program of China(Grant No.2021YFF0600400);the National Natural Science Foundation of China(Grant Nos.72104123,72004113)。; With the acceleration of global climate change and urbanization,disaster chains are always connected to artificial systems like critical infrastructure.The complexity and uncertainty of the disaster chain development ...; 关键词：Bayesian network Expert prior knowledge Parameter learning Rainstorm disaster chain Scenario reasoning

Optimized Deep Learning Model for Effective Spectrum Sensing in Dynamic SNR Scenario: 《Computer Systems Science & Engineering》2023年第5期1279-1294,共16页G.Arunachalam P.SureshKumar; The main components of Cognitive Radio networks are Primary Users(PU)and Secondary Users(SU).The most essential method used in Cognitive networks is Spectrum Sensing,which detects the spectrum band and opportunistical...; 关键词：Spectrum sensing cuttle-fish long short term memory raspberry pilow SNR convolutional neural networks

Optimization Scheme of Trusted Task Offloading in IIoT Scenario Based on DQN被引量：2: 《Computers, Materials & Continua》2023年第1期2055-2071,共17页Xiaojuan Wang Zikui Lu Siyuan Sun Jingyue Wang Luona Song Merveille Nicolas; supported by the Projects of Software of Big Data Processing Tool(TC210804V-1);Big Data Risk Screening Model Procurement(No.S20200).; With the development of the Industrial Internet of Things(IIoT),end devices(EDs)are equipped with more functions to capture information.Therefore,a large amount of data is generated at the edge of the network and need...; 关键词：Task offloading blockchain industrial internet of things(IIoT) deep reinforcement learning(DRL)network mobile-edge computing(MEC)

Scenario-oriented hybrid particle swarm optimization algorithm for robust economic dispatch of power system with wind power被引量：1: 《Journal of Systems Engineering and Electronics》2022年第5期1143-1150,共8页WANG Bing ZHANG Pengfei HE Yufeng WANG Xiaozhi ZHANG Xianxia; supported by the National Natural Science Foundation of China(62173219,62073210).; An economic dispatch problem for power system with wind power is discussed.Using discrete scenario to describe uncertain wind powers,a threshold is given to identify bad scenario set.The bad-scenario-set robust econom...; 关键词：wind power robust economic dispatch SCENARIO simulated annealing(SA) particle swarm optimization(PSO)

Changes of Legal Scenarios in the Era of Artificial Intelligence: 《Frontiers of Law in China-Selected Publications from Chinese Universities》2022年第1期67-87,共21页QI Yanping; The superposition of artificial intelligence(AI)and non-state power has aggravated changes in state functions,and has downgraded centralism of political state.The"Intelligent Leviathan"will persist in objectifying the...; 关键词：artificial intelligence(AI) Intelligent Leviathan scenario change

A MACHINE LEARNING APPROACH FOR MECHANISM SELECTION IN COMPLEX NEGOTIATIONS被引量：2: 《Journal of Systems Science and Systems Engineering》2018年第2期134-155,共22页Reyhan Aydogan Ivan Marsa-Maestre Mark Klein Catholijn M. Jonker; Automated negotiation mechanisms can be helpful in contexts where users want to reach mutually satisfactory agreements about issues of shared interest, especially for complex problems with many interdependent issues. ...; 关键词：Automated negotiation mechanism selection scenario metrics

A scenario relaxation algorithm for finite scenario based robust assembly line balancing: 《High Technology Letters》2011年第1期1-6,共6页徐炜达 Xiao Tianyuan; Supported by the National High Technology Research and Development Programme of China （No. 2006AA04Z160） and the National Natural Science Foundation of China （ No. 60874066）.; A balancing problem for a mixed model assembly line with uncertain task processmg Ume anO daily model mixed changes is considered, and the objective is to minimize the work variances between stations in the line. For ...; 关键词：scenario-based decision making robust optimization assembly line balancing genetic algorithm

SCENARIO