Suchergebnisse - "Multi-objective optimization algorithm"

Enhancing the performance of hybrid wave-wind energy systems through a fast and adaptive chaotic multi-objective swarm optimisation method von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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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Modelling of carbon price in two real carbon trading markets von Hao, Yan, Tian, Chengshi, Wu, Chunying

“… Carbon price forecasting plays a vital role in establishing a reasonable and stable carbon market. A number of carbon price forecasting models have been …”
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A Multi‐Objective Optimization‐Based Reflective Metasurface for Enhanced Multi‐Point Focusing With Diffraction Suppression von Xiao, Dongping, Xu, Lanxin, Su, Dongping, Shi, Zhuxin, Zhang, Huaiqing

“… Metasurface arrays can achieve beam control at low cost and high quality by providing different phase compensations for each unit, effectively focusing …”
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Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization von Wang, Jianzhou, Cheng, Zishu

“… As a potential new energy power generation technology, wind power is gradually developing into the world’s mainstream energy. In the research on wind power …”
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