Citations (17)
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Mingxing Yu. (2020) Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm. International Journal of Green Energy 17:5, pages 332-348.
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Shanshan Qin, Jianzhou Wang, Jie Wu & Ge Zhao. (2016) A hybrid model based on smooth transition periodic autoregressive and Elman artificial neural network for wind speed forecasting of the Hebei region in China. International Journal of Green Energy 13:6, pages 595-607.
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Florin Onea & Eugen Rusu. (2014) An Evaluation of the Wind Energy in the North-West of the Black Sea. International Journal of Green Energy 11:5, pages 465-487.
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Kostas Philippopoulos, Despina Deligiorgi & George Karvounis. (2012) Wind Speed Distribution Modeling in the Greater Area of Chania, Greece. International Journal of Green Energy 9:2, pages 174-193.
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Articles from other publishers (9)
Hasmat Malik, Amit Kumar Yadav, Fausto Pedro García Márquez & Jesús María Pinar-Pérez. (2022) Novel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for wind power resource assessment in India. Energy Strategy Reviews 41, pages 100864.
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Lei Xu, Lei Hou, Zhenyu Zhu, Yu Li, Jiaquan Liu, Ting Lei & Xingguang Wu. (2021) Mid-term prediction of electrical energy consumption for crude oil pipelines using a hybrid algorithm of support vector machine and genetic algorithm. Energy 222, pages 119955.
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Muhammad Uzair Yousuf, Ibrahim Al-Bahadly & Ebubekir Avci. (2021) Short-Term Wind Speed Forecasting Based on Hybrid MODWT-ARIMA-Markov Model. IEEE Access 9, pages 79695-79711.
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Mengna Zhou, Jizheng Yi, Jieqiong Yang & Yi Sima. (2020) Characteristic Representation of Stock Time Series Based on Trend Feature Points. IEEE Access 8, pages 97016-97031.
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Weixing Zhao, Wei Xie, Qingyang Liao, Yimu Fu, Zexiang Cai, Wenze Liu & Lei Feng. (2018) Uncertainty Modeling Analysis of Microgird System Based on the “Emergence”. Uncertainty Modeling Analysis of Microgird System Based on the “Emergence”.
Tongxiang Liu, Shenzhong Liu, Jiani Heng & Yuyang Gao. (2018) A New Hybrid Approach for Wind Speed Forecasting Applying Support Vector Machine with Ensemble Empirical Mode Decomposition and Cuckoo Search Algorithm. Applied Sciences 8:10, pages 1754.
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Jie Shi, Yulei Gong, Xiaofei Liu & Xiaoxun Zhu. (2016) Model optimization for very-short-term wind power forecasting using Hilbert-Huang Transform. Model optimization for very-short-term wind power forecasting using Hilbert-Huang Transform.
Chi Zhang, Haikun Wei, Xin Zhao, Tianhong Liu & Kanjian Zhang. (2016) A Gaussian process regression based hybrid approach for short-term wind speed prediction. Energy Conversion and Management 126, pages 1084-1092.
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Hao Zheng, Jian Yan Tian, Fang Wang & Jin Li. (2012) Short-Term Wind Speed Combination Prediction Model of Neural Network and Time Series. Advanced Materials Research 608-609, pages 764-769.
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