Výsledky vyhledávání - "Multi-objective optimisation algorithm"

Optimisation study of solar-coupled combined heat and power for crude oil export terminals Autor Tian, Liang, Zhao, Fuxing, Wu, Jiachao

“…Addressing the issues of high energy consumption, high carbon emissions, and significant load fluctuations at oilfield crude export terminals, this paper…”
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Process parameter optimisation method based on data-driven prediction model and multi-objective optimisation for the laser metal deposition manufacturing process monitoring Autor Wu, Ziqian, Li, Cheng, Zhang, Chao, Han, Bangguo, Wang, Zeyi, Fan, Wei, Xu, Zhenying

“…•A data-driven prediction model based on random forest was developed. The model takes into account internal defects porosity and cracks, and establishes a…”
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SMWO/D: a decomposition-based switching multi-objective whale optimiser for structural optimisation of Turbine disk in aero-engines Autor Li, Han, Liu, Haonan, Lan, Chengbo, Yin, Yiqi, Wu, Peishu, Yan, Cheng, Zeng, Nianyin

“…In this paper, a novel multidisciplinary design optimisation (MDO) algorithm is proposed, which is named as the decomposition-based switching multi-objective…”
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Enhancing the performance of hybrid wave-wind energy systems through a fast and adaptive chaotic multi-objective swarm optimisation method Autor Neshat, Mehdi, Sergiienko, Nataliia Y., Nezhad, Meysam Majidi, da Silva, Leandro S.P., Amini, Erfan, Marsooli, Reza, Astiaso Garcia, Davide, Mirjalili, Seyedali

“…Hybrid offshore renewable energy platforms have been proposed to optimise power production and reduce the levelised cost of energy by integrating or…”
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Enhancing energy efficiency and coordinated scheduling in university building clusters driven by student energy behavior Autor Zhang, Wei, Yang, Kun, Li, Zhangyu, Zeng, Xiding, Guo, Jiahong, Zou, Ruiwen, Wang, Xuhong, Chen, Pengxu, Zhang, Chenyang, Zhang, Yi

“…The optimization of energy scheduling in university building clusters is of great significance for achieving energy conservation, reducing consumption, and…”
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A novel hybrid model for short-term wind power forecasting Autor Du, Pei, Wang, Jianzhou, Yang, Wendong, Niu, Tong

“…Wind energy prediction has a significant effect on the planning, economic operation and security maintenance of the wind power system. However, due to the high…”
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A novel ensemble probabilistic forecasting system for uncertainty in wind speed Autor Wang, Jianzhou, Wang, Shuai, Zeng, Bo, Lu, Haiyan

“…•Developed a novel deep QrBiLStm that can perform probabilistic forecasts.•An ensemble probabilistic forecasting system was proposed.•A pseudo-interval…”
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Hybrid ultra-short-term PV power forecasting system for deterministic forecasting and uncertainty analysis Autor Wang, Jianzhou, Yu, Yue, Zeng, Bo, Lu, Haiyan

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Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm Autor Wang, Jianzhou, Zhou, Yilin, Li, Zhiwu

“…•In the light of the decomposition and ensemble mechanism, the designed system decomposes the original PV power series, reduces the high-frequency noise, so as…”
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A new boredom-aware dual-resource constrained flexible job shop scheduling problem using a two-stage multi-objective particle swarm optimization algorithm Autor Shi, Jiaxuan, Chen, Mingzhou, Ma, Yumin, Qiao, Fei

“…Dual-resource constrained flexible job shop scheduling problem has become a hot research field in recent years. However, few studies have considered workers’…”
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Topology optimization of micro-channel reactors using an improved multi-objective algorithm Autor Wang, Jiahao, Liu, Xiaomin, Wang, Yue

“…•Multi-physics model and multi-objective optimization algorithm are established.•The effect of outlet angles of MCR on optimal configurations is…”
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Interval forecasting system for electricity load based on data pre-processing strategy and multi-objective optimization algorithm Autor Wang, Jianzhou, Zhang, Linyue, Li, Zhiwu

“…•Interval forecasting system is proposed to quantify the uncertainty information.•Data decomposition strategy is employed to process original data.•A novel…”
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A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting Autor Niu, Xinsong, Wang, Jiyang

“…•A multi-objective optimization algorithm is successfully developed.•Employ a data denoising strategy to process the raw wind speed sequence.•Propose a novel…”
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A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting Autor Hao, Yan, Tian, Chengshi

“…•A novel two-stage forecasting architecture is proposed for wind power forecasting.•Considering error factor in wind power forecasting to improve model’s…”
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A new combined model based on multi-objective salp swarm optimization for wind speed forecasting Autor Cheng, Zishu, Wang, Jiyang

“…Wind energy as the representative renewable energy sources attracted the global attention and wind power plays a significant role in power system. Thus, wind…”
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A novel combined model for probabilistic load forecasting based on deep learning and improved optimizer Autor Zhang, Dongxue, Wang, Shuai, Liang, Yuqiu, Du, Zhiyuan

“…As the transitions of the power industry to decarburization and distributed energy systems, the future uncertainty information of electric load is becoming…”
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Empirical Mode Decomposition based Multi-objective Deep Belief Network for short-term power load forecasting Autor Fan, Chaodong, Ding, Changkun, Zheng, Jinhua, Xiao, Leyi, Ai, Zhaoyang

“…With the rapid development of power grid data, the data generated by the operation of the power system is increasingly complex, and the amount of data…”
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Multi-Objective Optimization Algorithm With Adaptive Resource Allocation for Truck-Drone Collaborative Delivery and Pick-Up Services Autor Luo, Qizhang, Wu, Guohua, Trivedi, Anupam, Hong, Fangyu, Wang, Ling, Srinivasan, Dipti

“…To efficiently implement the truck-drone collaborative logistics system, we introduce a multi-objective truck-drone collaborative routing problem with delivery…”
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A two-stage accelerated search strategy for large-scale multi-objective evolutionary algorithm Autor Cui, Zhihua, Wu, Yijing, Zhao, Tianhao, Zhang, Wensheng, Chen, Jinjun

“…Since large-scale multi-objective problems (LSMOPs) have huge decision variables, the traditional evolutionary algorithms are facing difficulties of low…”
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A hybrid forecasting system based on a dual decomposition strategy and multi-objective optimization for electricity price forecasting Autor Yang, Wendong, Wang, Jianzhou, Niu, Tong, Du, Pei

“…•A data preprocessing approach named the dual decomposition strategy is developed.•A novel forecasting system is developed for electricity price…”
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