Research and application of a hybrid forecasting model based on simulated annealing algorithm: A case study of wind speed forecasting

Ping Jiang; Yingjie Ge; Chen Wang

doi:10.1063/1.4940408

Research and application of a hybrid forecasting model based on simulated annealing algorithm: A case study of wind speed forecasting

Journal of Renewable and Sustainable Energy ◽

10.1063/1.4940408 ◽

2016 ◽

Vol 8 (1) ◽

pp. 015501 ◽

Cited By ~ 5

Author(s):

Ping Jiang ◽

Yingjie Ge ◽

Chen Wang

Keyword(s):

Simulated Annealing ◽

Wind Speed ◽

Simulated Annealing Algorithm ◽

Forecasting Model ◽

Wind Speed Forecasting ◽

Model Based ◽

Hybrid Forecasting ◽

Annealing Algorithm

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A Hybrid Forecasting Model Based on Modified Bat Algorithm and ELM: A Case Study for Wind Speed Forecasting

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/153/2/022001 ◽

2018 ◽

Vol 153 (2) ◽

pp. 022001

Author(s):

Yujia Zhang ◽

Long Chen

Keyword(s):

Wind Speed ◽

Bat Algorithm ◽

Forecasting Model ◽

Wind Speed Forecasting ◽

Model Based ◽

Hybrid Forecasting ◽

Modified Bat Algorithm

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A hybrid wind speed forecasting model based on phase space reconstruction theory and Markov model: A case study of wind farms in northwest China

Energy ◽

10.1016/j.energy.2015.08.039 ◽

2015 ◽

Vol 91 ◽

pp. 556-572 ◽

Cited By ~ 58

Author(s):

Yun Wang ◽

Jianzhou Wang ◽

Xiang Wei

Keyword(s):

Phase Space ◽

Wind Speed ◽

Markov Model ◽

Wind Farms ◽

Northwest China ◽

Phase Space Reconstruction ◽

Forecasting Model ◽

Wind Speed Forecasting ◽

Model Based

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The study and application of a novel hybrid forecasting model – A case study of wind speed forecasting in China

Applied Energy ◽

10.1016/j.apenergy.2015.01.038 ◽

2015 ◽

Vol 143 ◽

pp. 472-488 ◽

Cited By ~ 79

Author(s):

Jian-Zhou Wang ◽

Yun Wang ◽

Ping Jiang

Keyword(s):

Wind Speed ◽

Forecasting Model ◽

Wind Speed Forecasting ◽

Hybrid Forecasting

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Hybrid forecasting model-based data mining and genetic algorithm-adaptive particle swarm optimisation: a case study of wind speed time series

IET Renewable Power Generation ◽

10.1049/iet-rpg.2015.0010 ◽

2016 ◽

Vol 10 (3) ◽

pp. 287-298 ◽

Cited By ~ 20

Author(s):

Jianzhou Wang ◽

Fanyong Zhang ◽

Feng Liu ◽

Jianjun Ma

Keyword(s):

Data Mining ◽

Genetic Algorithm ◽

Time Series ◽

Wind Speed ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Forecasting Model ◽

Model Based ◽

Hybrid Forecasting

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Intelligent Decision Model Based on Optimized Simulated Annealing Algorithm

Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016) ◽

10.2991/icsma-16.2016.135 ◽

2016 ◽

Author(s):

Hui Xia

Keyword(s):

Simulated Annealing ◽

Decision Model ◽

Simulated Annealing Algorithm ◽

Model Based ◽

Intelligent Decision ◽

Annealing Algorithm

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Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm

Energy Conversion and Management ◽

10.1016/j.enconman.2017.11.049 ◽

2018 ◽

Vol 156 ◽

pp. 525-541 ◽

Cited By ~ 58

Author(s):

Hui Liu ◽

Zhu Duan ◽

Feng-ze Han ◽

Yan-fei Li

Keyword(s):

Wind Speed ◽

Error Correction ◽

Ensemble Method ◽

Forecasting Model ◽

Correction Algorithm ◽

Wind Speed Forecasting ◽

Model Based ◽

Error Correction Algorithm

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A hybrid wind speed forecasting model based on a decomposition method and an improved regularized extreme learning machine

Energy Procedia ◽

10.1016/j.egypro.2019.01.079 ◽

2019 ◽

Vol 158 ◽

pp. 217-222 ◽

Cited By ~ 6

Author(s):

Na Sun ◽

Jianzhong Zhou ◽

Guangbiao Liu ◽

Zhongzheng He

Keyword(s):

Wind Speed ◽

Extreme Learning Machine ◽

Decomposition Method ◽

Forecasting Model ◽

Wind Speed Forecasting ◽

Model Based ◽

Learning Machine

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Solution to Chance Constrained Programming Problem in Swap Trailer Transport Organisation based on Improved Simulated Annealing Algorithm

Applied Mathematics and Nonlinear Sciences ◽

10.2478/amns.2020.1.00005 ◽

2020 ◽

Vol 5 (1) ◽

pp. 47-54 ◽

Cited By ~ 2

Author(s):

Tao Li ◽

Wenyin Yang

Keyword(s):

Simulated Annealing ◽

Programming Problem ◽

Vehicle Routing Problem ◽

Simulated Annealing Algorithm ◽

Chance Constrained Programming ◽

Routing Problem ◽

Theoretical Support ◽

Annealing Algorithm ◽

Constrained Programming

AbstractSwap trailer transport organisation problem originates from the traditional vehicle routing problem (VRP). Most of the studies on the problems assume that the travelling times of vehicles are fixed values. In this paper, the uncertainties of driving times are considered and a chance constrained programming problem is proposed. An improved simulated annealing algorithm is used to solve the problem proposed. The model and algorithm described in this paper are studied through a case study, and the influence of uncertainty on the results is analysed. The conclusion of this study provides theoretical support for the practice of trailer pickup transport.

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