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Articles

Short-term wind speed prediction based on improved PSO algorithm optimized EM-ELM

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S. P. Diwan & Shraddha S. Deshpande. (2023) Fast nonlinear model predictive controller using parallel PSO based on divide and conquer approach. International Journal of Control 96:9, pages 2230-2239.
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Zhongda Tian. (2022) Chaotic characteristic analysis of short-term wind speed time series with different time scales. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44:1, pages 2448-2463.
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Joanna Zietkiewicz, Piotr Kozierski & Wojciech Giernacki. (2021) Particle swarm optimisation in nonlinear model predictive control; comprehensive simulation study for two selected problems. International Journal of Control 94:10, pages 2623-2639.
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Angel Colmenares & Jianzhou Wang. (2021) Double ensemble system for wind energy forecasting based on generalized autoregressive conditional heteroskedasticity and neural network models with variational mode decomposition. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-18.
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Aliva Routray, Khyati D Mistry, Sabha Raj Arya & B. Chittibabu. (2020) Applied machine learning in wind speed prediction and loss minimization in unbalanced radial distribution system. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-21.
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Hakan Acikgoz, Ceyhun Yildiz & Mustafa Sekkeli. (2020) An extreme learning machine based very short-term wind power forecasting method for complex terrain. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 42:22, pages 2715-2730.
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C. Peláez-Rodríguez, J. Pérez-Aracil, L. Prieto-Godino, S. Ghimire, R.C. Deo & S. Salcedo-Sanz. (2023) A fuzzy-based cascade ensemble model for improving extreme wind speeds prediction. Journal of Wind Engineering and Industrial Aerodynamics 240, pages 105507.
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Minghai Xu, Li Cao, Dongwan Lu, Zhongyi Hu & Yinggao Yue. (2023) Application of Swarm Intelligence Optimization Algorithms in Image Processing: A Comprehensive Review of Analysis, Synthesis, and Optimization. Biomimetics 8:2, pages 235.
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Irem Selen Yoldas & Ferhat Bingol. 2023. Proceedings of the 2022 International Symposium on Energy Management and Sustainability. Proceedings of the 2022 International Symposium on Energy Management and Sustainability 359 368 .
Barenya Bikash Hazarika, Deepak Gupta & Narayanan Natarajan. (2022) Wavelet kernel least square twin support vector regression for wind speed prediction. Environmental Science and Pollution Research 29:57, pages 86320-86336.
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Youran Xia, Wenjun Yi & Dingye Zhang. (2022) Coupled extreme learning machine and particle swarm optimization variant for projectile aerodynamic identification. Engineering Applications of Artificial Intelligence 114, pages 105100.
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Tolga Depci, Mustafa İnci, Murat Mustafa Savrun & Mehmet Büyük. (2022) A Review on Wind Power Forecasting Regarding Impacts on the System Operation, Technical Challenges, and Applications. Energy Technology 10:8.
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Roguia Siouda, Mohamed Nemissi & Hamid Seridi. (2022) Diverse activation functions based-hybrid RBF-ELM neural network for medical classification. Evolutionary Intelligence.
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Haize Hu, Yunyi Li, Xiangping Zhang & Mengge Fang. (2022) A novel hybrid model for short-term prediction of wind speed. Pattern Recognition 127, pages 108623.
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Ayman Yafouz, Nouar AlDahoul, Ahmed H. Birima, Ali Najah Ahmed, Mohsen Sherif, Ahmed Sefelnasr, Mohammed Falah Allawi & Ahmed Elshafie. (2022) Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction. Alexandria Engineering Journal 61:6, pages 4607-4622.
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Jie Li, RunRan Li, YuanJie Jia & ZhiXin Zhang. (2021) Prediction of short‐term photovoltaic power via codec neural network and mode decomposition based deep learning approach. Energy Science & Engineering 10:6, pages 1794-1811.
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Dingsen Zhang & Xianwen Gao. (2022) A digital twin dosing system for iron reverse flotation. Journal of Manufacturing Systems 63, pages 238-249.
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Dan Cui. (2022) A Study on Prediction Skills and Reading Efficiency in College English Based on Optimized BP Networks. Wireless Communications and Mobile Computing 2022, pages 1-12.
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Jujie Wang, Quan Cui & Maolin He. (2022) Hybrid intelligent framework for carbon price prediction using improved variational mode decomposition and optimal extreme learning machine. Chaos, Solitons & Fractals 156, pages 111783.
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Haobo Li & Hairong Zou. (2022) Short-Term Wind Power Prediction Based on Data Reconstruction and Improved Extreme Learning Machine. Arabian Journal for Science and Engineering 47:3, pages 3669-3682.
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Anan Zhang, Yu Lin, Yangfan Sun, Haiyun Yuan, Min Wang, Guofeng Liu & Yiru Hu. (2021) Tidal current prediction based on fractal theory and improved least squares support vector machine. IET Renewable Power Generation 16:2, pages 389-401.
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Yuxuan Shi, Yanyu Wang & Haoran Zheng. (2022) Wind Speed Prediction for Offshore Sites Using a Clockwork Recurrent Network. Energies 15:3, pages 751.
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Qidong Zhang, Xiong Xiong, Ruoting Cheng, Qinyu Qiu & Jingliang Zhu. 2022. The proceedings of the 16th Annual Conference of China Electrotechnical Society. The proceedings of the 16th Annual Conference of China Electrotechnical Society 77 85 .
Pingping Yang. 2022. Cyber Security Intelligence and Analytics. Cyber Security Intelligence and Analytics 351 358 .
Zhongda Tian & Haobo Zhang. (2021) Stochastic configuration networks with fast implementations. Review of Scientific Instruments 92:12, pages 125109.
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Paulo S.G. de Mattos Neto, João F.L. de Oliveira, Domingos S. de O. Santos Júnior, Hugo Valadares Siqueira, Manoel H.N. Marinho & Francisco Madeiro. (2021) An adaptive hybrid system using deep learning for wind speed forecasting. Information Sciences 581, pages 495-514.
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Yassine Kebbati, Vicenc Puig, Naima Ait-Oufroukh, Vincent Vigneron & Dalil Ichalal. (2021) Optimized adaptive MPC for lateral control of autonomous vehicles. Optimized adaptive MPC for lateral control of autonomous vehicles.
Jujie Wang, Chunchen Feng & Junjie He. (2021) Wind Speed Prediction in the Hexi Corridor Region of China Using an Enhanced Multiscale Nonlinear Ensemble Model. Energy Technology, pages 2100700.
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Zhongda Tian, Hao Li & Feihong Li. (2021) A combination forecasting model of wind speed based on decomposition. Energy Reports 7, pages 1217-1233.
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Zhongda Tian. (2020) A state-of-the-art review on wind power deterministic prediction. Wind Engineering 45:5, pages 1374-1392.
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Rana Muhammad Adnan, Reham R. Mostafa, Ozgur Kisi, Zaher Mundher Yaseen, Shamsuddin Shahid & Mohammad Zounemat-Kermani. (2021) Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization. Knowledge-Based Systems 230, pages 107379.
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Yagang Zhang, Ruixuan Li & Jinghui Zhang. (2021) Optimization scheme of wind energy prediction based on artificial intelligence. Environmental Science and Pollution Research 28:29, pages 39966-39981.
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Zhongda Tian. (2021) Modes decomposition forecasting approach for ultra-short-term wind speed. Applied Soft Computing 105, pages 107303.
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Shahab S. Band, Pezhman Taherei Ghazvinei, Khamaruzaman bin Wan Yusof, Mohammad Hossein Ahmadi, Narjes Nabipour & Kwok‐Wing Chau. (2020) Evaluation of the accuracy of soft computing learning algorithms in performance prediction of tidal turbine. Energy Science & Engineering 9:5, pages 633-644.
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Zhaoyue Zhang, An Zhang, Cong Sun, Shuaida Xiang, Jichen Guan & Xuedong Huang. (2020) Research on Air Traffic Flow Forecast Based on ELM Non-Iterative Algorithm. Mobile Networks and Applications 26:1, pages 425-439.
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Nebojsa Bacanin, Timea Bezdan, K. Venkatachalam, Miodrag Zivkovic, Ivana Strumberger, Mohamed Abouhawwash & Abeer B. Ahmed. (2021) Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm. IEEE Access 9, pages 169135-169155.
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Li Cao, Yinggao Yue, Yong Zhang & Yong Cai. (2021) Improved Crow Search Algorithm Optimized Extreme Learning Machine Based on Classification Algorithm and Application. IEEE Access 9, pages 20051-20066.
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Nachamada Vachaku Blamah, Aderemi Adewumi Oluyinka, Gregory Wajiga & Yusuf Benson Baha. (2020) MAPSOFT: A Multi-Agent based Particle Swarm Optimization Framework for Travelling Salesman Problem. Journal of Intelligent Systems 30:1, pages 413-428.
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Li-Hong Tang, Yu-Long Bai, Jie Yang & Ya-Ni Lu. (2020) A hybrid prediction method based on empirical mode decomposition and multiple model fusion for chaotic time series. Chaos, Solitons & Fractals 141, pages 110366.
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Li Zhang, Zhongchen Wu & Zongcheng Ling. (2020) Particle Swarm Optimization (PSO) for improving the accuracy of ChemCam LIBS sub-model quantitative method. Earth Science Informatics 13:4, pages 1485-1497.
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Jicheng Quan & Li Shang. (2020) Short-Term Wind Speed Forecasting Based on Ensemble Online Sequential Extreme Learning Machine and Bayesian Optimization. Mathematical Problems in Engineering 2020, pages 1-13.
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Mingshuai Liu, Zheming Cao, Jing Zhang, Long Wang, Chao Huang & Xiong Luo. (2020) Short-term wind speed forecasting based on the Jaya-SVM model. International Journal of Electrical Power & Energy Systems 121, pages 106056.
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Zhongda Tian. (2020) Preliminary Research of Chaotic Characteristics and Prediction of Short-Term Wind Speed Time Series. International Journal of Bifurcation and Chaos 30:12, pages 2050176.
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Li Jingming, Li Xuhui, Dai Daoming, Ruan Sumei & Zhu Xuhui. (2020) Research on Credit Risk Measurement of Small and Micro Enterprises Based on the Integrated Algorithm of Improved GSO and ELM. Mathematical Problems in Engineering 2020, pages 1-14.
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Shuzhi GaoTianchi LiYimin Zhang. (2020) Rolling bearing fault diagnosis of PSO–LSSVM based on CEEMD entropy fusion. Transactions of the Canadian Society for Mechanical Engineering 44:3, pages 405-418.
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Wenping Xue, Chenmeng Wang, Jing Tian & Kangji Li. (2020) Hybrid wind power forecasting based on extreme learning machine and improved TLBO algorithm. Journal of Renewable and Sustainable Energy 12:5.
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Zhongda Tian. (2020) Backtracking search optimization algorithm-based least square support vector machine and its applications. Engineering Applications of Artificial Intelligence 94, pages 103801.
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Zhongda Tian. (2020) Network traffic prediction method based on wavelet transform and multiple models fusion. International Journal of Communication Systems 33:11, pages e4415.
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Yirui Wang, Yang Yu, Shuyang Cao, Xingyi Zhang & Shangce Gao. (2019) A review of applications of artificial intelligent algorithms in wind farms. Artificial Intelligence Review 53:5, pages 3447-3500.
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Iyad Abu Doush & Eugene Santos. (2020) Best Polynomial Harmony Search with Best β -Hill Climbing Algorithm . Journal of Intelligent Systems 30:1, pages 1-17.
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Zhongda Tian. (2020) A combined prediction approach based on wavelet transform for crop water requirement. Water Supply 20:3, pages 1016-1034.
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Zhongda Tian. (2020) Short-term wind speed prediction based on LMD and improved FA optimized combined kernel function LSSVM. Engineering Applications of Artificial Intelligence 91, pages 103573.
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Zhongda Tian, Gang Wang & Yi Ren. (2019) Short-term wind speed forecasting based on autoregressive moving average with echo state network compensation. Wind Engineering 44:2, pages 152-167.
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Kun Li, Wensu Xu, Ying Han, Fawei Ge & Yi’an Wang. (2020) A hybrid modeling method for interval time prediction of the intermittent pumping well based on IBSO-KELM. Measurement 151, pages 107214.
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Zhongda Tian, Shujiang Li & Yanhong Wang. (2019) A prediction approach using ensemble empirical mode decomposition‐permutation entropy and regularized extreme learning machine for short‐term wind speed. Wind Energy 23:2, pages 177-206.
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Junke Li, Kai Liu, Mingjiang Li & Deguang Li. (2020) Combined Prediction Energy Model at Software Architecture Level. IEEE Access 8, pages 214565-214576.
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Yinghao Zhu, Ping He, Xiaozhen Ma, Kai Zhang, Heng Li, Haoyang Mi, Xing-Zhong Xiong, Zuxin Li & Yangmin Li. (2020) Perspective and Prediction of the Rule of High Temperature Melting of SiO₂ via Visual Analysis. IEEE Access 8, pages 171334-171349.
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Xia Li, Jianping Liu & Peifeng Niu. (2020) Least Square Parallel Extreme Learning Machine for Modeling NO x Emission of a 300MW Circulating Fluidized Bed Boiler . IEEE Access 8, pages 79619-79636.
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Yujun Yang & Yimei Yang. (2020) Hybrid Prediction Method for Wind Speed Combining Ensemble Empirical Mode Decomposition and Bayesian Ridge Regression. IEEE Access 8, pages 71206-71218.
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Madasthu Santhosh, Chintham Venkaiah & D.M. Vinod Kumar. (2019) Short-term wind speed forecasting approach using Ensemble Empirical Mode Decomposition and Deep Boltzmann Machine. Sustainable Energy, Grids and Networks 19, pages 100242.
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Jiapeng Huang, Yanqiu Xing, Haotian You, Lei Qin, Jing Tian & Jianming Ma. (2019) Particle Swarm Optimization-Based Noise Filtering Algorithm for Photon Cloud Data in Forest Area. Remote Sensing 11:8, pages 980.
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Zehai Gao, Cunbao Ma, Jianfeng Zhang & Weijun Xu. (2019) Enhanced Online Sequential Parallel Extreme Learning Machine and its Application in Remaining Useful Life Prediction of Integrated Modular Avionics. IEEE Access 7, pages 183479-183488.
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