Výsledky vyhledávání - "Approximate dynamic programming algorithm"

A non-iterative distributed approximate dynamic programming algorithm for frequency security-constrained stochastic economic dispatch Autor Feng, Xiangyong, Lin, Shunjiang, Liang, Yutao, Liu, Yanghua, Liu, Mingbo

“…•Stochastic economic dispatch model considering the system frequency security constraints.•A golden section search-based approximate linear constraint…”
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New integer optimization models and an approximate dynamic programming algorithm for the lot-sizing and scheduling problem with sequence-dependent setups Autor Lee, Younsoo, Lee, Kyungsik

“…•Lot-sizing and scheduling with sequence-dependent setup cost and times is studied.•The time-flow model for the problem is proposed and compared with a…”
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Stochastic optimal dispatch of PV/wind/diesel/battery microgrids using state-space approximate dynamic programming Autor Lin, Shunjiang, Wang, Yaping, Liu, Mingbo, Fan, Guansheng, Yang, Zhibin, Li, Qifeng

“…In the operation of microgrids (MGs), the stochastic production of solar/wind, the discrete variables of photovoltaic (PV) inverter's auxiliary service state…”
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Approximate dynamic programming-based decentralised robust optimisation approach for multi-area economic dispatch considering wind power uncertainty Autor Zhu, Jianquan, Wang, Chenxi, Guo, Ye, Luo, Tianyun, Mo, Xiemin, Xia, Yunrui

“…This study presents a fully decentralised robust optimisation (RO) approach for multi-area economic dispatch (MA-ED) in the presence of wind power uncertainty…”
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Simulation-Based Electric Vehicle Sustainable Routing with Time-Dependent Stochastic Information Autor Li, Xinran, Kan, Haoxuan, Hua, Xuedong, Wang, Wei

“…We propose a routing method for electric vehicles that finds a route with minimal expected travel time in time-dependent stochastic networks. The method first…”
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New approximate dynamic programming algorithms for large-scale undiscounted Markov decision processes and their application to optimize a production and distribution system Autor Ohno, Katsuhisa, Boh, Toshitaka, Nakade, Koichi, Tamura, Takayoshi

“…•We propose new approximate dynamic programming algorithms.•These algorithms can solve large-scale undiscounted Markov decision processes.•Optimal control…”
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