Статті в журналах з теми "SOLAR ENERGY FORECASTING"
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Sangrody, Hossein, Morteza Sarailoo, Ning Zhou, Nhu Tran, Mahdi Motalleb, and Elham Foruzan. "Weather forecasting error in solar energy forecasting." IET Renewable Power Generation 11, no. 10 (July 11, 2017): 1274–80. http://dx.doi.org/10.1049/iet-rpg.2016.1043.
Повний текст джерелаChaudhary, Pankaj, Rohith Gattu, Soundarajan Ezekiel, and James Allen Rodger. "Forecasting Solar Radiation." Journal of Cases on Information Technology 23, no. 4 (October 2021): 1–21. http://dx.doi.org/10.4018/jcit.296263.
Повний текст джерелаEl hendouzi, Abdelhakim, and Abdennaser Bourouhou. "Solar Photovoltaic Power Forecasting." Journal of Electrical and Computer Engineering 2020 (December 31, 2020): 1–21. http://dx.doi.org/10.1155/2020/8819925.
Повний текст джерелаA. G. M. Amarasinghe, P., N. S. Abeygunawardana, T. N. Jayasekara, E. A. J. P. Edirisinghe, and S. K. Abeygunawardane. "Ensemble models for solar power forecasting—a weather classification approach." AIMS Energy 8, no. 2 (2020): 252–71. http://dx.doi.org/10.3934/energy.2020.2.252.
Повний текст джерелаPaulescu, Marius, Nicoleta Stefu, Ciprian Dughir, Robert Blaga, Andreea Sabadus, Eugenia Paulescu, and Sorin Bojin. "Online Forecasting of the Solar Energy Production." Annals of West University of Timisoara - Physics 60, no. 1 (August 1, 2018): 104–10. http://dx.doi.org/10.2478/awutp-2018-0011.
Повний текст джерелаNath, N. C., W. Sae-Tang, and C. Pirak. "Machine Learning-Based Solar Power Energy Forecasting." Journal of the Society of Automotive Engineers Malaysia 4, no. 3 (September 1, 2020): 307–22. http://dx.doi.org/10.56381/jsaem.v4i3.25.
Повний текст джерелаMadhiarasan, Manoharan, Mohamed Louzazni, and Brahim Belmahdi. "Statistical Analysis of Novel Ensemble Recursive Radial Basis Function Neural Network Performance on Global Solar Irradiance Forecasting." Journal of Electrical and Computer Engineering 2023 (March 28, 2023): 1–10. http://dx.doi.org/10.1155/2023/2554355.
Повний текст джерелаAl-Ali, Elham M., Yassine Hajji, Yahia Said, Manel Hleili, Amal M. Alanzi, Ali H. Laatar, and Mohamed Atri. "Solar Energy Production Forecasting Based on a Hybrid CNN-LSTM-Transformer Model." Mathematics 11, no. 3 (January 28, 2023): 676. http://dx.doi.org/10.3390/math11030676.
Повний текст джерелаChodakowska, Ewa, Joanicjusz Nazarko, Łukasz Nazarko, Hesham S. Rabayah, Raed M. Abendeh, and Rami Alawneh. "ARIMA Models in Solar Radiation Forecasting in Different Geographic Locations." Energies 16, no. 13 (June 28, 2023): 5029. http://dx.doi.org/10.3390/en16135029.
Повний текст джерелаVennila, C., Anita Titus, T. Sri Sudha, U. Sreenivasulu, N. Pandu Ranga Reddy, K. Jamal, Dayadi Lakshmaiah, P. Jagadeesh, and Assefa Belay. "Forecasting Solar Energy Production Using Machine Learning." International Journal of Photoenergy 2022 (April 30, 2022): 1–7. http://dx.doi.org/10.1155/2022/7797488.
Повний текст джерелаZwane, Nosipho, Henerica Tazvinga, Christina Botai, Miriam Murambadoro, Joel Botai, Jaco de Wit, Brighton Mabasa, Siphamandla Daniel, and Tafadzwanashe Mabhaudhi. "A Bibliometric Analysis of Solar Energy Forecasting Studies in Africa." Energies 15, no. 15 (July 29, 2022): 5520. http://dx.doi.org/10.3390/en15155520.
Повний текст джерелаCheon, Jae ho, Jung-Tae Lee, Hyun-Goo Kim, Yong-Heack Kang, Chang-Yeol Yun, Chang Ki Kim, Bo-Young Kim, et al. "Trend Review of Solar Energy Forecasting Technique." Journal of the Korean Solar Energy Society 39, no. 4 (August 1, 2019): 41–54. http://dx.doi.org/10.7836/kses.2019.39.4.041.
Повний текст джерелаInman, Rich H., Hugo T. C. Pedro, and Carlos F. M. Coimbra. "Solar forecasting methods for renewable energy integration." Progress in Energy and Combustion Science 39, no. 6 (December 2013): 535–76. http://dx.doi.org/10.1016/j.pecs.2013.06.002.
Повний текст джерелаWang, Huaning, Yihua Yan, Han He, Xin Huang, Xinghua Dai, Xiaoshuai Zhu, Zhanle Du, Hui Zhao, and Yan Yan. "Numerical Short-Term Solar Activity Forecasting." Proceedings of the International Astronomical Union 13, S335 (July 2017): 243–49. http://dx.doi.org/10.1017/s1743921318000534.
Повний текст джерелаSudharshan, Konduru, C. Naveen, Pradeep Vishnuram, Damodhara Venkata Siva Krishna Rao Krishna Rao Kasagani, and Benedetto Nastasi. "Systematic Review on Impact of Different Irradiance Forecasting Techniques for Solar Energy Prediction." Energies 15, no. 17 (August 28, 2022): 6267. http://dx.doi.org/10.3390/en15176267.
Повний текст джерелаKorneychuk, B. V. "Forecasting the solar energy development in the region." Regional nye issledovaniya, no. 3 (2020): 16–25. http://dx.doi.org/10.5922/1994-5280-2020-3-2.
Повний текст джерелаIheanetu, Kelachukwu J. "Solar Photovoltaic Power Forecasting: A Review." Sustainability 14, no. 24 (December 19, 2022): 17005. http://dx.doi.org/10.3390/su142417005.
Повний текст джерелаPospíchal, Jiří, Martin Kubovčík, and Iveta Dirgová Luptáková. "Solar Irradiance Forecasting with Transformer Model." Applied Sciences 12, no. 17 (September 2, 2022): 8852. http://dx.doi.org/10.3390/app12178852.
Повний текст джерелаAssaf, Abbas Mohammed, Habibollah Haron, Haza Nuzly Abdull Hamed, Fuad A. Ghaleb, Sultan Noman Qasem, and Abdullah M. Albarrak. "A Review on Neural Network Based Models for Short Term Solar Irradiance Forecasting." Applied Sciences 13, no. 14 (July 19, 2023): 8332. http://dx.doi.org/10.3390/app13148332.
Повний текст джерелаMukaram, Muhammad Zillullah, and Fadhilah Yusof. "Solar radiation forecast using hybrid SARIMA and ANN model." Malaysian Journal of Fundamental and Applied Sciences 13, no. 4-1 (December 5, 2017): 346–50. http://dx.doi.org/10.11113/mjfas.v13n4-1.895.
Повний текст джерелаVeda Swaroop, M., and P. Linga Reddy. "Solar and Wind Power Forecasting with Optimal ARIMA Parameters." International Journal of Engineering & Technology 7, no. 1.8 (February 9, 2018): 201. http://dx.doi.org/10.14419/ijet.v7i1.8.16402.
Повний текст джерелаMohsin, Syed Muhammad, Tahir Maqsood, and Sajjad Ahmed Madani. "Solar and Wind Energy Forecasting for Green and Intelligent Migration of Traditional Energy Sources." Sustainability 14, no. 23 (December 6, 2022): 16317. http://dx.doi.org/10.3390/su142316317.
Повний текст джерелаWoo, JongRoul, Hye-Jeong Lee, and Sung-Yoon Huh. "Forecasting Solar Photovoltaic and Wind Power Deployment in South Korea: An Innovation Diffusion Approach." Journal of Energy Engineering 31, no. 1 (March 31, 2022): 16–29. http://dx.doi.org/10.5855/energy.2022.31.1.016.
Повний текст джерелаAl-Jaafreh, Tamer Mushal, and Abdullah Al-Odienat. "The Solar Energy Forecasting by Pearson Correlation using Deep Learning Techniques." EARTH SCIENCES AND HUMAN CONSTRUCTIONS 2 (August 2, 2022): 158–63. http://dx.doi.org/10.37394/232024.2022.2.19.
Повний текст джерелаManjili, Yashar Sahraei, Rolando Vega, and Mo M. Jamshidi. "Data-Analytic-Based Adaptive Solar Energy Forecasting Framework." IEEE Systems Journal 12, no. 1 (March 2018): 285–96. http://dx.doi.org/10.1109/jsyst.2017.2769483.
Повний текст джерелаKaur, Amanpreet, Lukas Nonnenmacher, Hugo T. C. Pedro, and Carlos F. M. Coimbra. "Benefits of solar forecasting for energy imbalance markets." Renewable Energy 86 (February 2016): 819–30. http://dx.doi.org/10.1016/j.renene.2015.09.011.
Повний текст джерелаEroshenko, Stanislav, Elena Kochneva, Pavel Kruchkov, and Aleksandra Khalyasmaa. "Solar Power Plant Generation Short-Term Forecasting Model." MATEC Web of Conferences 208 (2018): 04004. http://dx.doi.org/10.1051/matecconf/201820804004.
Повний текст джерелаArias, Mariz B., and Sungwoo Bae. "Design Models for Power Flow Management of a Grid-Connected Solar Photovoltaic System with Energy Storage System." Energies 13, no. 9 (April 29, 2020): 2137. http://dx.doi.org/10.3390/en13092137.
Повний текст джерелаZhen, Zhao, Zheng Wang, Fei Wang, Zengqiang Mi, and Kangping Li. "Research on a cloud image forecasting approach for solar power forecasting." Energy Procedia 142 (December 2017): 362–68. http://dx.doi.org/10.1016/j.egypro.2017.12.057.
Повний текст джерелаPašić, Lejla, Azra Pašić, Alija Pašić, and István Vokony. "ANN-Based Large-Scale Cooperative Solar Generation Forecasting." Renewable Energy and Power Quality Journal 20 (September 2022): 559–63. http://dx.doi.org/10.24084/repqj20.367.
Повний текст джерелаPark, Jinwoong, Sungwoo Park, Jonghwa Shim, and Eenjun Hwang. "Domain Hybrid Day-Ahead Solar Radiation Forecasting Scheme." Remote Sensing 15, no. 6 (March 17, 2023): 1622. http://dx.doi.org/10.3390/rs15061622.
Повний текст джерелаAslam, Muhammad, Jae-Myeong Lee, Hyung-Seung Kim, Seung-Jae Lee, and Sugwon Hong. "Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study." Energies 13, no. 1 (December 27, 2019): 147. http://dx.doi.org/10.3390/en13010147.
Повний текст джерелаWang, Hui, Jianbo Sun, and Weijun Wang. "Photovoltaic Power Forecasting Based on EEMD and a Variable-Weight Combination Forecasting Model." Sustainability 10, no. 8 (July 26, 2018): 2627. http://dx.doi.org/10.3390/su10082627.
Повний текст джерелаBoland, John. "Characterising Seasonality of Solar Radiation and Solar Farm Output." Energies 13, no. 2 (January 18, 2020): 471. http://dx.doi.org/10.3390/en13020471.
Повний текст джерелаAslam, Muhammad, Jae-Myeong Lee, Mustafa Altaha, Seung-Jae Lee, and Sugwon Hong. "AE-LSTM Based Deep Learning Model for Degradation Rate Influenced Energy Estimation of a PV System." Energies 13, no. 17 (August 24, 2020): 4373. http://dx.doi.org/10.3390/en13174373.
Повний текст джерелаMohamad Radzi, Putri Nor Liyana, Muhammad Naveed Akhter, Saad Mekhilef, and Noraisyah Mohamed Shah. "Review on the Application of Photovoltaic Forecasting Using Machine Learning for Very Short- to Long-Term Forecasting." Sustainability 15, no. 4 (February 6, 2023): 2942. http://dx.doi.org/10.3390/su15042942.
Повний текст джерелаZhou, Hangxia, Qian Liu, Ke Yan, and Yang Du. "Deep Learning Enhanced Solar Energy Forecasting with AI-Driven IoT." Wireless Communications and Mobile Computing 2021 (June 18, 2021): 1–11. http://dx.doi.org/10.1155/2021/9249387.
Повний текст джерелаBalal, Afshin, Yaser Pakzad Jafarabadi, Ayda Demir, Morris Igene, Michael Giesselmann, and Stephen Bayne. "Forecasting Solar Power Generation Utilizing Machine Learning Models in Lubbock." Emerging Science Journal 7, no. 4 (July 12, 2023): 1052–62. http://dx.doi.org/10.28991/esj-2023-07-04-02.
Повний текст джерелаHasanah, P., S. A. Wiradinata, and M. Azka. "Forecasting approach for solar power based on weather parameters (Case study: East Kalimantan)." Journal of Physics: Conference Series 2106, no. 1 (November 1, 2021): 012022. http://dx.doi.org/10.1088/1742-6596/2106/1/012022.
Повний текст джерелаWang, Ching-Hsin, Kuo-Ping Lin, Yu-Ming Lu, and Chih-Feng Wu. "Deep Belief Network with Seasonal Decomposition for Solar Power Output Forecasting." International Journal of Reliability, Quality and Safety Engineering 26, no. 06 (December 2019): 1950029. http://dx.doi.org/10.1142/s0218539319500293.
Повний текст джерелаCarrera, Berny, and Kwanho Kim. "Comparison Analysis of Machine Learning Techniques for Photovoltaic Prediction Using Weather Sensor Data." Sensors 20, no. 11 (June 1, 2020): 3129. http://dx.doi.org/10.3390/s20113129.
Повний текст джерелаMilicevic, Marina, and Budimirka Marinovic. "Machine learning methods in forecasting solar photovoltaic energy production." Thermal Science, no. 00 (2023): 150. http://dx.doi.org/10.2298/tsci230402150m.
Повний текст джерелаBorunda, Monica, Adrián Ramírez, Raul Garduno, Gerardo Ruíz, Sergio Hernandez, and O. A. Jaramillo. "Photovoltaic Power Generation Forecasting for Regional Assessment Using Machine Learning." Energies 15, no. 23 (November 24, 2022): 8895. http://dx.doi.org/10.3390/en15238895.
Повний текст джерелаLi, Xianglong, Longfei Ma, Ping Chen, Hui Xu, Qijing Xing, Jiahui Yan, Siyue Lu, Haohao Fan, Lei Yang, and Yongqiang Cheng. "Probabilistic solar irradiance forecasting based on XGBoost." Energy Reports 8 (August 2022): 1087–95. http://dx.doi.org/10.1016/j.egyr.2022.02.251.
Повний текст джерелаOh, Myeongchan, Chang Ki Kim, Boyoung Kim, Changyeol Yun, Yong-Heack Kang, and Hyun-Goo Kim. "Spatiotemporal Optimization for Short-Term Solar Forecasting Based on Satellite Imagery." Energies 14, no. 8 (April 15, 2021): 2216. http://dx.doi.org/10.3390/en14082216.
Повний текст джерелаXIE, Jingrui, and Tao HONG. "Load forecasting using 24 solar terms." Journal of Modern Power Systems and Clean Energy 6, no. 2 (January 27, 2018): 208–14. http://dx.doi.org/10.1007/s40565-017-0374-0.
Повний текст джерелаSherozbek, Jumaboev, Jaewoo Park, Mohammad Shaheer Akhtar, and O.-Bong Yang. "Transformers-Based Encoder Model for Forecasting Hourly Power Output of Transparent Photovoltaic Module Systems." Energies 16, no. 3 (January 27, 2023): 1353. http://dx.doi.org/10.3390/en16031353.
Повний текст джерелаIsma’il, Muhammad, and Salisu Aliyu. "Daily Solar Radiation Forecasting for Northwest Nigeria Using Long Short-Term Memory." International Journal of Science for Global Sustainability 9, no. 1 (March 31, 2023): 8. http://dx.doi.org/10.57233/ijsgs.v9i1.407.
Повний текст джерелаSingh, Yogesh, and Amarendra Singh. "Forecasting Solar Radiation by the Machine Learning Algorithm & their Different Techniques." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (November 30, 2022): 406–11. http://dx.doi.org/10.22214/ijraset.2022.47345.
Повний текст джерелаAhmed, Rohail, Hafiz Muhammad Khurram Ali, and Qasim Habib. "Development of Decision Support System for Solar Farm Location on CPEC using GIS and Forecasting." International Journal of Advanced Natural Sciences and Engineering Researches 7, no. 5 (June 21, 2023): 93–99. http://dx.doi.org/10.59287/ijanser.908.
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