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Journal of Information and Optimization Sciences Volume 41, 2020 - Issue 1: Recent trends in Optimization, Signal Processing and Automation
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Articles

Short-term PV power forecasting using empirical mode decomposition in integration with back-propagation neural network

Harendra Kumar Yadav1 Department of Electrical Engineering, National Institute of Technology, Kurukshetra, Kurukshetra136119, Haryana, IndiaCorrespondence[email protected]
,
Yash Pal2 Department of Electrical Engineering, National Institute of Technology, Kurukshetra, Kurukshetra136119, Haryana, India, E-mail: [email protected]
&
Madan Mohan Tripathi3 Department of Electrical Engineering, Delhi Technological University, New Delhi110042, India, E-mail: [email protected]
Pages 25-37 | Published online: 06 Feb 2020

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Harendra Kumar Yadav, Yash Pal & Madan Mohan Tripathi. (2022) 24-hour ahead PV power forecasting based on the univariate hybrid machine learning model. International Journal of Ambient Energy 43:1, pages 6745-6755.
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Articles from other publishers (10)

Gen Li, Tian Tian, Fuchong Hao, Zifan Yuan, Rong Tang & Xueqin Liu. (2023) Day-Ahead Photovoltaic Power Forecasting Using Empirical Mode Decomposition Based on Similarity-Day Extension Without Information Leakage. Arabian Journal for Science and Engineering 49:5, pages 6941-6957.
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Xujiong Li, Guoming Yang & Jun Gou. (2024) PV Power Forecasting in the Hexi Region of Gansu Province Based on AP Clustering and LSTNet. International Transactions on Electrical Energy Systems 2024, pages 1-17.
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Pardeep Singla, Manoj Duhan & Sumit Saroha. (2023) A point and interval forecasting of solar irradiance using different decomposition based hybrid models. Earth Science Informatics.
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Yiran Li, Neng Zhu & Yingzhen Hou. (2023) Comparison of empirical modal decomposition class techniques applied in noise cancellation for building heating consumption prediction based on time-frequency analysis. Energy and Buildings 284, pages 112853.
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Reski Khelifi, Mawloud Guermoui, Abdelaziz Rabehi, Ayoub Taallah, Abdelhalim Zoukel, Sherif S. M. Ghoneim, Mohit Bajaj, Kareem M. AboRas & Ievgen Zaitsev. (2023) Short-Term PV Power Forecasting Using a Hybrid TVF-EMD-ELM Strategy. International Transactions on Electrical Energy Systems 2023, pages 1-14.
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Anuj Gupta, Kapil Gupta & Sumit Saroha. 2023. Smart Energy and Advancement in Power Technologies. Smart Energy and Advancement in Power Technologies 387 396 .
Jiayang Wang, Siyu Lu, Baorong Zhou & Bo Xu. (2022) Ultra-short-term Forecast of Photovoltaic Power Based on VMD Error Correction and CNN-GRU-AM. Ultra-short-term Forecast of Photovoltaic Power Based on VMD Error Correction and CNN-GRU-AM.
Anuj Gupta, Kapil Gupta & Sumit Saroha. 2022. Recent Advances in Power Systems. Recent Advances in Power Systems 115 125 .
Xianping Zhu, Shaowu Li, Yan Li & Jingxun Fan. (2021) Research progress of the ultra-short term power forecast for PV power generation: A review. Research progress of the ultra-short term power forecast for PV power generation: A review.
Ahmed Aghmadi, Soumia El Hani, Hamza Mediouni, Nisrin Naseri & Fatima El Issaoui. (2021) Hybrid Solar Forecasting Method Based on Empirical Mode Decomposition and Back Propagation Neural Network. E3S Web of Conferences 231, pages 02001.
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