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Yicheng Zhang
Researcher at Agency for Science, Technology and Research
Publications - 34
Citations - 269
Yicheng Zhang is an academic researcher from Agency for Science, Technology and Research. The author has contributed to research in topics: Computer science & Electric power. The author has an hindex of 7, co-authored 28 publications receiving 122 citations. Previous affiliations of Yicheng Zhang include Institute for Infocomm Research Singapore & Nanyang Technological University.
Papers
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Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics
TL;DR: This paper addresses a traffic signal scheduling (TSS) problem in a heterogeneous traffic network with signalized and non-signalized intersections by proposing a novel model and meta-heuristics to solve the TSS problem.
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An Energy Efficient Power Management Solution for a Fault-Tolerant More Electric Engine/Aircraft
Yicheng Zhang,Gabriel Ooi Heo Peng,Joseph Kiran Banda,S. Dasgupta,Mark Husband,Rong Su,Changyun Wen +6 more
TL;DR: A PMS solution to optimize EPS level efficiency optimization is proposed, which is based on multiple objective optimization problem (MOOP), and is solved with a modified nondominated genetic algorithm with local search mechanisms.
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Day-Ahead Scheduling of Distribution Level Integrated Electricity and Natural Gas System Based on Fast-ADMM With Restart Algorithm
TL;DR: A day-ahead scheduling framework of integrated electricity and NG system (IENG) is proposed at a distribution level based on the fast alternating direction multiplier method with restart algorithm considering demand side response and uncertainties.
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Pedestrian-Safety-Aware Traffic Light Control Strategy for Urban Traffic Congestion Alleviation
Yi Zhang,Yicheng Zhang,Rong Su +2 more
TL;DR: A traffic signal control strategy for urban traffic networks that aims to minimize vehicle traveling delay as well as pedestrian crossing risk is presented, and an evolutionary algorithm with repairing mechanism (EARM) is proposed to solve the problem.
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Distributed multi-scenario optimal sizing of integrated electricity and gas system based on ADMM
TL;DR: A distributed multi-scenario optimization framework based on alternating direction multiplier method (ADMM) and a bidirectional coupling IEGS model which includes the dynamic characteristic of the gas system and uncertainties of renewable energy and load are proposed.