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International Journal of Green Energy Volume 13, 2016 - Issue 14
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Original Articles

Short-term wind speed forecasting: Application of linear and non-linear time series models

Sunil Kumar SharmaManagement Development Institute (MDI), Sukhrali, Gurgaon, India
&
Sajal GhoshManagement Development Institute (MDI), Sukhrali, Gurgaon, IndiaCorrespondence[email protected]
Pages 1490-1500 | Published online: 28 Jul 2016

Citations (15)

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Hyesung Seok, Changsoo Ok & Chen Chen. (2022) Wind power bidding strategy by harmonizing neural network and genetic algorithm. International Journal of Green Energy 19:15, pages 1649-1657.
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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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Jie Du, Hongchuan Sun, Yijia Cao, Yubao Liu, Linlin Pan & Yuewei Liu. (2019) Ensemble interpolation of missing wind turbine nacelle wind speed data in wind farms based on robust particle swarm optimized generalized regression neural network. International Journal of Green Energy 16:14, pages 1210-1219.
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Articles from other publishers (12)

Vladimir Simankov, Pavel Buchatskiy, Semen Teploukhov, Stefan Onishchenko, Anatoliy Kazak & Petr Chetyrbok. (2023) Review of Estimating and Predicting Models of the Wind Energy Amount. Energies 16:16, pages 5926.
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Jujie Wang, Maolin He & Shiyao Qiu. (2023) Two-Stage Decomposition Multi-Scale Nonlinear Ensemble Model with Error-Correction-Coupled Gaussian Process for Wind Speed Forecast. Atmosphere 14:2, pages 395.
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Abdullah H. Alenezy, Mohd Tahir Ismail, Jamil J. Jaber, S. AL Wadi & Rami S. Alkhawaldeh. (2022) Hybrid fuzzy inference rules of descent method and wavelet function for volatility forecasting. PLOS ONE 17:12, pages e0278835.
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Nurulkamal Masseran. (2022) Multifractal Characteristics on Multiple Pollution Variables in Malaysia. Bulletin of the Malaysian Mathematical Sciences Society 45:S1, pages 325-344.
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Lateiro Salvador de Sousa, Raphael M. Wambua, James M. Raude & Benedict M. Mutua. (2021) Cohesive and non-uniform sediment characteristics in the unlined canal of Chókwè Irrigation Scheme, Mozambique. Journal of Sedimentary Environments 6:2, pages 301-317.
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S. Vidya & E. Srie Vidhya Janani. (2021) Wind speed multistep forecasting model using a hybrid decomposition technique and a selfish herd optimizer-based deep neural network. Soft Computing 25:8, pages 6237-6270.
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Nor Hafizah Hussin, Fadhilah Yusof, ‘Aaishah Radziah Jamaludin & Siti Mariam Norrulashikin. (2021) Forecasting Wind Speed in Peninsular Malaysia: An Application of ARIMA and ARIMA-GARCH Models. Pertanika Journal of Science and Technology 29:1.
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Khaled A. Althelaya, Salahadin A. Mohammed & El-Sayed M. El-Alfy. (2021) Combining Deep Learning and Multiresolution Analysis for Stock Market Forecasting. IEEE Access 9, pages 13099-13111.
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Ling Shen, Jian Lu, Dongdong Geng & Ling Deng. (2020) Peak Traffic Flow Predictions: Exploiting Toll Data from Large Expressway Networks. Sustainability 13:1, pages 260.
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M. Azimmohseni, M. Khalafi & M. Kordkatuli. (2018) Time series analysis of covariance based on linear transfer function models. Statistical Inference for Stochastic Processes 22:1, pages 1-16.
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Jorge Luis Tena García, Erasmo Cadenas Calderón, Gilberto González Ávalos, Eduardo Rangel Heras & Alain Mbikayi Tshikala. (2019) Forecast of daily output energy of wind turbine using sARIMA and nonlinear autoregressive models. Advances in Mechanical Engineering 11:2, pages 168781401881346.
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Hessam Golmohamadi & Reza Keypour. (2018) A bi-level robust optimization model to determine retail electricity price in presence of a significant number of invisible solar sites. Sustainable Energy, Grids and Networks 13, pages 93-111.
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