Clustering-Based Hybrid Approach for Wind Speed Forecasting
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-6289-8_49
Reference34 articles.
1. Morshedizadeh M, Kordestani M, Carriveau R (2017) Improved power curve monitoring of wind turbines. Wind Eng 41:260–327
2. Thapar V, Agnihotri G, Sethi V (2011) Critical analysis of methods for mathematical modelling of wind turbines. Renewable Energy 36:3166–3177
3. Liu H, Tian HQ, Li YF (2015) Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions. Energy Convers Manage 92:67–81
4. Lei M, Shiyan L, Chuanwen J (2009) A review on the forecasting of wind speed and generated power. Renew Sustain Energy Rev 13:915–920
5. Carvalho D, Rocha A, Gomez-Gesteira M, Santos C (2012) A sensitivity study of the WRF model in wind simulation for an area of high wind energy. Environ Model Softw 33:23–34
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Enhancing Dynamic Wind Power Forecasting Using Cluster-Based Intelligence Swarm Optimization Technique;Studies in Systems, Decision and Control;2024
2. Wind speed forecasting using optimized bidirectional LSTM based on dipper throated and genetic optimization algorithms;Frontiers in Energy Research;2023-06-01
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