2018
DOI: 10.1049/joe.2018.8273
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Intelligent scheduling method for energy saving operation of multi‐train based on genetic algorithm and regenerative kinetic energy

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Cited by 5 publications
(3 citation statements)
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“…In [131], PSO has been shown to outperform some standard methods used based on Information Engine Services (IES) and based on operating expenses appropriate for IES. The authors included challenging PSO improvements that converge faster and require less computational time.…”
Section: Prosumer Particle Swarm Optimizationmentioning
confidence: 99%
“…In [131], PSO has been shown to outperform some standard methods used based on Information Engine Services (IES) and based on operating expenses appropriate for IES. The authors included challenging PSO improvements that converge faster and require less computational time.…”
Section: Prosumer Particle Swarm Optimizationmentioning
confidence: 99%
“…For storing electricity for the smart grid, the PLP optimization algorithm was selected as an appealing design approach [ 136 ]. In [ 137 ], the authors claim that PLP was applied as a linear function of choice factors to determine the best strategy for solving objective function issues and restrictions. Numerous scientists have employed PLP in different energy storage devices, according to the authors’ report in [ 138 ].…”
Section: Blockchain Application In Sg 20mentioning
confidence: 99%
“…In [23] a model, based on a multidimensional state vector subspace for train operation, is presented. A smart scheduling methodology useful for multi-train energy saving operation and an optimization procedure based on a genetic algorithm and regenerative kinetic energy, to lowest total energy consumption, is proposed in [23,24].…”
Section: Efficiency Solutions Based On the Driving Style Management A...mentioning
confidence: 99%