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Energy Sources, Part A: Recovery, Utilization, and Environmental Effects Volume 44, 2022 - Issue 4
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Research Article

Deep learning approach for one-hour ahead forecasting of energy production in a solar-PV plant

Arif Ozbeka Department of Mechanical Engineering, Ceyhan Engineering Faculty, Cukurova University, Adana, TurkeyORCID Iconhttps://orcid.org/0000-0003-1287-9078
ORCID Icon,
Alper Yildirimb Department of Machinery and Metal Technology, Osmaniye Korkut Ata University, Osmaniye, TurkeyORCID Iconhttps://orcid.org/0000-0003-2626-1666
ORCID Icon &
Mehmet Bilgilia Department of Mechanical Engineering, Ceyhan Engineering Faculty, Cukurova University, Adana, TurkeyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5339-6120
ORCID Icon
Pages 10465-10480 | Received 03 Dec 2020, Accepted 25 Apr 2021, Published online: 07 May 2021

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Pulavarthi Satya Venkata Kishore, Jami Rajesh, Nakka Jayaram & Sukanta Halder. (2022) A Survey of Machine Learning Applications in Renewable Energy Sources. IETE Journal of Research 0:0, pages 1-18.
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Irati Zapirain, Garazi Etxegarai, Juan Hernández, Zina Boussaada, Naiara Aginako & Haritza Camblong. (2022) Short-term electricity consumption forecasting with NARX, LSTM, and SVR for a single building: small data set approach. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44:3, pages 6898-6908.
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N. Mohammed Sabri & Mohammed El Hassouni. (2022) Accurate photovoltaic power prediction models based on deep convolutional neural networks and gated recurrent units. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44:3, pages 6303-6320.
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Naveen Venkatesh Sridharan & Vaithiyanathan Sugumaran. (2022) Deep learning-based ensemble model for classification of photovoltaic module visual faults. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44:2, pages 5287-5302.
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Damodhara Venkata Siva Krishna Rao Kasagani & Premalatha Manickam. (2022) Modeling of solar photovoltaic power using a two-stage forecasting system with operation and weather parameters. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-19.
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Articles from other publishers (8)

Ali Sohani, Hoseyn Sayyaadi, Mohammad Hossein Moradi, Mitra Zabihigivi, Müslüm Arıcı, Mohammad Hassan Shahverdian, Siamak Hoseinzadeh, Benedetto Nastasi & Davide Astiaso Garcia. (2023) An in-depth thermo-electrical evaluation of a rooftop PV technology for a residential building using advanced infrared thermography. Engineering Analysis with Boundary Elements 152, pages 243-258.
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Arif Ozbek. (2022) Prediction of daily sea water temperature in Turkish seas using machine learning approaches. Arabian Journal of Geosciences 15:21.
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Mehmet Bilgili, Akın Ilhan & Şaban Ünal. (2022) Time-series prediction of hourly atmospheric pressure using ANFIS and LSTM approaches. Neural Computing and Applications 34:18, pages 15633-15648.
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Arif ÖZBEK. (2022) Daily Sea Water Temperature Forecasting Using Machine Learning ApproachesMakine Öğrenimi Yaklaşımlarını Kullanarak Günlük Deniz Suyu Sıcaklığı Tahmini. Çukurova Üniversitesi Mühendislik Fakültesi Dergisi 37:2, pages 307-318.
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Maria Krechowicz, Adam Krechowicz, Lech Lichołai, Artur Pawelec, Jerzy Zbigniew Piotrowski & Anna Stępień. (2022) Reduction of the Risk of Inaccurate Prediction of Electricity Generation from PV Farms Using Machine Learning. Energies 15:11, pages 4006.
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Jasleen Kaur, Aarushi Goyal, Palak Handa & Nidhi Goel. (2022) Solar power forecasting using ordinary least square based regression algorithms. Solar power forecasting using ordinary least square based regression algorithms.
Laith Abualigah, Raed Abu Zitar, Khaled H. Almotairi, Ahmad MohdAziz Hussein, Mohamed Abd Elaziz, Mohammad Reza Nikoo & Amir H. Gandomi. (2022) Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques. Energies 15:2, pages 578.
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Noman Shabbir, Lauri Kütt, Hadi Ashraf Raja, Muhammad Jawad, Alo Allik & Oleksandr Husev. (2021) Future Prospective of Domestic and Commercial Photovoltaic System Installation in Estonia: A Techno-Economic Analysis. SSRN Electronic Journal.
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