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Journal of Statistics and Management Systems Volume 23, 2020 - Issue 1: Developments and Advances in Renewable Energy systems
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Articles

Predictive analysis of RNN, GBM and LSTM network for short-term wind power forecasting

Tushar Srivastava1 Department of Electrical Engineering, Delhi Technological University, Delhi110042, IndiaCorrespondence[email protected]
,
Vedanshu2 Department of Electrical Engineering, Delhi Technological University, Delhi110042, India, E-mail: [email protected]
&
M. M. Tripathi3 Department of Electrical Engineering, Delhi Technological University, Delhi110042, India, E-mail: [email protected]
Pages 33-47 | Published online: 06 Feb 2020

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Jingwei Hou, Yanjuan Wang, Ji Zhou & Qiong Tian. (2022) Prediction of hourly air temperature based on CNN–LSTM. Geomatics, Natural Hazards and Risk 13:1, pages 1962-1986.
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Zihua Chen, Chuanli Wang, Huawei Jin, Jingzhao Li, Shunxiang Zhang & Qichun Ouyang. (2022) Hierarchical-fuzzy allocation and multi-parameter adjustment prediction for industrial loading optimisation. Connection Science 34:1, pages 687-708.
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Gyana Ranjan Patra & Mihir Narayan Mohanty. (2022) An LSTM-GRU based hybrid framework for secured stock price prediction. Journal of Statistics and Management Systems 25:6, pages 1491-1499.
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Articles from other publishers (11)

Sherry Garg & Rajalakshmi Krishnamurthi. (2023) A survey of long short term memory and its associated models in sustainable wind energy predictive analytics. Artificial Intelligence Review 56:S1, pages 1149-1198.
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Hyuna Kang, Seunghoon Jung, Jaewon Jeoung, Juwon Hong & Taehoon Hong. (2023) A bi-level reinforcement learning model for optimal scheduling and planning of battery energy storage considering uncertainty in the energy-sharing community. Sustainable Cities and Society 94, pages 104538.
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旭 掌. (2023) Research on Wind Power Prediction Model Based on BP Neural Network. Advances in Energy and Power Engineering 11:01, pages 22-29.
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Prasannavenkatesan Theerthagiri. 2023. Data Science for Genomics. Data Science for Genomics 1 10 .
Rudresh B. Magadum, Satish Bilagi, Srishtik Bhandarkar, Anchit Patil & Abhigna Joshi. 2023. Recent Developments in Electrical and Electronics Engineering. Recent Developments in Electrical and Electronics Engineering 319 341 .
Sherry Garg & Rajalakshmi Krishnamurthi. (2022) Powernet: A novel method for wind power predictive analytics using Powernet deep learning model. Journal of Renewable and Sustainable Energy 14:4.
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Stephan Schlüter, Sejung Jung, Andreas von Döllen & Wonhee Lee. (2022) An Alternative to Index-Based Gas Sourcing Using Neural Networks. Energies 15:13, pages 4708.
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Sebastian C. Ibañez, Carlo Vincienzo G. Dajac, Marissa P. Liponhay, Erika Fille T. Legara, Jon Michael H. Esteban & Christopher P. Monterola. (2021) Forecasting Reservoir Water Levels Using Deep Neural Networks: A Case Study of Angat Dam in the Philippines. Water 14:1, pages 34.
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Zhongda Tian & Hao Chen. (2021) A novel decomposition-ensemble prediction model for ultra-short-term wind speed. Energy Conversion and Management 248, pages 114775.
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Zhongda Tian & Hao Chen. (2021) Multi-step short-term wind speed prediction based on integrated multi-model fusion. Applied Energy 298, pages 117248.
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Soufiane Gaizen, Ouafia Fadi & Ahmed Abbou. 2021. Digital Technologies and Applications. Digital Technologies and Applications 155 164 .

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