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Leian Zhang, Junwu Wang, Han Wu, Mengwei Wu, Jingyi Guo and Shengmin Wang
Subway station projects are characterized by complex construction technology, complex site conditions, and being easily influenced by the surrounding environment; thus, construction safety accidents occur frequently. In order to improve the computing per...
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Shouwen Chen
Motivated by concepts in quantum mechanics and particle swarm optimization (PSO), quantum-behaved particle swarm optimization (QPSO) was proposed as a variant of PSO with better global search ability. In this paper, a QPSO with weighted mean personal bes...
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Jianglin Zhang, Huimin Zhuang, Li Zhang and Jinyu Gao
Usually, the optimal spinning reserve is studied by considering the balance between the economy and reliability of a power system. However, the uncertainties from the errors of load and wind power output forecasting have seldom been considered. In this p...
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Li-Ling Peng, Guo-Feng Fan, Min-Liang Huang and Wei-Chiang Hong
Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support v...
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Chun-tian Cheng, Wen-jing Niu, Zhong-kai Feng, Jian-jian Shen and Kwok-wing Chau
Accurate daily runoff forecasting is of great significance for the operation control of hydropower station and power grid. Conventional methods including rainfall-runoff models and statistical techniques usually rely on a number of assumptions, leading t...
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Pengfei Jia, Shukai Duan and Jia Yan
Quantum-behaved particle swarm optimization (QPSO), a global optimization method, is a combination of particle swarm optimization (PSO) and quantum mechanics. It has a great performance in the aspects of search ability, convergence speed, solution accura...
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Qun Niu, Zhuo Zhou, Hong-Yun Zhang and Jing Deng
Quantum-behaved particle swarm optimization (QPSO) is an efficient and powerful population-based optimization technique, which is inspired by the conventional particle swarm optimization (PSO) and quantum mechanics theories. In this paper, an improved QP...
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