Small-Scale Solar Photovoltaic Power Prediction for Residential Load in Saudi Arabia Using Machine Learning
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- Ahmed Bilal Awan & Muhammad Zubair & Praveen R. P. & Ahmed G. Abokhalil, 2018. "Solar Energy Resource Analysis and Evaluation of Photovoltaic System Performance in Various Regions of Saudi Arabia," Sustainability, MDPI, vol. 10(4), pages 1-27, April.
- Tayeb Brahimi, 2019. "Using Artificial Intelligence to Predict Wind Speed for Energy Application in Saudi Arabia," Energies, MDPI, vol. 12(24), pages 1-16, December.
- Saber, Esmail M. & Lee, Siew Eang & Manthapuri, Sumanth & Yi, Wang & Deb, Chirag, 2014. "PV (photovoltaics) performance evaluation and simulation-based energy yield prediction for tropical buildings," Energy, Elsevier, vol. 71(C), pages 588-595.
- Christil Pasion & Torrey Wagner & Clay Koschnick & Steven Schuldt & Jada Williams & Kevin Hallinan, 2020. "Machine Learning Modeling of Horizontal Photovoltaics Using Weather and Location Data," Energies, MDPI, vol. 13(10), pages 1-14, May.
- Richard G. Newell & Yifei Qian & Daniel Raimi, 2016. "Global Energy Outlook 2015," NBER Working Papers 22075, National Bureau of Economic Research, Inc.
- Chih-Chiang Wei, 2019. "Evaluation of Photovoltaic Power Generation by Using Deep Learning in Solar Panels Installed in Buildings," Energies, MDPI, vol. 12(18), pages 1-18, September.
- Majid Almaraashi, 2017. "Short-term prediction of solar energy in Saudi Arabia using automated-design fuzzy logic systems," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-16, August.
- Claudio Monteiro & L. Alfredo Fernandez-Jimenez & Ignacio J. Ramirez-Rosado & Andres Muñoz-Jimenez & Pedro M. Lara-Santillan, 2013. "Short-Term Forecasting Models for Photovoltaic Plants: Analytical versus Soft-Computing Techniques," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-9, November.
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Cited by:
- Sultan J. Alharbi & Abdulaziz S. Alaboodi, 2023. "A Review on Techno-Economic Study for Supporting Building with PV-Grid-Connected Systems under Saudi Regulations," Energies, MDPI, vol. 16(3), pages 1-14, February.
- Guici Chen & Tingting Zhang & Wenyu Qu & Wenbo Wang, 2023. "Photovoltaic Power Prediction Based on VMD-BRNN-TSP," Mathematics, MDPI, vol. 11(4), pages 1-14, February.
- Lioua Kolsi & Sameer Al-Dahidi & Souad Kamel & Walid Aich & Sahbi Boubaker & Nidhal Ben Khedher, 2022. "Prediction of Solar Energy Yield Based on Artificial Intelligence Techniques for the Ha’il Region, Saudi Arabia," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
- Adam Krechowicz & Maria Krechowicz & Katarzyna Poczeta, 2022. "Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources," Energies, MDPI, vol. 15(23), pages 1-41, December.
- Wen-Chang Tsai & Chia-Sheng Tu & Chih-Ming Hong & Whei-Min Lin, 2023. "A Review of State-of-the-Art and Short-Term Forecasting Models for Solar PV Power Generation," Energies, MDPI, vol. 16(14), pages 1-30, July.
- Wioletta Wierzbicka, 2022. "Activities Undertaken in the Member Cities of the Polish National Cittaslow Network in the Area of “Energy and Environmental Policy”," Energies, MDPI, vol. 15(4), pages 1-16, February.
- Izabela Rojek & Dariusz Mikołajewski & Adam Mroziński & Marek Macko, 2023. "Machine Learning- and Artificial Intelligence-Derived Prediction for Home Smart Energy Systems with PV Installation and Battery Energy Storage," Energies, MDPI, vol. 16(18), pages 1-26, September.
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Keywords
solar photovoltaic; power prediction; residential load; environmental parameters; machine learning models; ensemble models; artificial neural networks; correlation; backward feature elimination;All these keywords.
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