Artykuły w czasopismach na temat „Wine industry Forecasting”
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Steinhagen, Sigrun, Jenny Darroch i Bill Bailey. "Forecasting in the Wine Industry: An Exploratory Study". International Journal of Wine Marketing 10, nr 1 (styczeń 1998): 13–24. http://dx.doi.org/10.1108/eb008674.
Pełny tekst źródłaSturman, Andrew, Peyman Zawar-Reza, Iman Soltanzadeh, Marwan Katurji, Valérie Bonnardot, Amber Kaye Parker, Michael C. T. Trought i in. "The application of high-resolution atmospheric modelling to weather and climate variability in vineyard regions". OENO One 51, nr 2 (15.05.2017): 99. http://dx.doi.org/10.20870/oeno-one.2016.0.0.1538.
Pełny tekst źródłaSturman, Andrew, Peyman Zawar-Reza, Iman Soltanzadeh, Marwan Katurji, Valérie Bonnardot, Amber Kaye Parker, Michael C. T. Trought i in. "The application of high-resolution atmospheric modelling to weather and climate variability in vineyard regions". OENO One 51, nr 2 (15.05.2017): 99–105. http://dx.doi.org/10.20870/oeno-one.2017.51.2.1538.
Pełny tekst źródłaHaouas, Nabiha, i Pierre R. Bertrand. "Wind Farm Power Forecasting". Mathematical Problems in Engineering 2013 (2013): 1–5. http://dx.doi.org/10.1155/2013/163565.
Pełny tekst źródłaSopeña, Juan Manuel González, Vikram Pakrashi i Bidisha Ghosh. "Decomposition-Based Hybrid Models for Very Short-Term Wind Power Forecasting". Engineering Proceedings 5, nr 1 (7.07.2021): 39. http://dx.doi.org/10.3390/engproc2021005039.
Pełny tekst źródłaLi, Guo Jian, i Yan Jun Hu. "Analysis and Discussion of the Influence Factors of the Wind Power". Advanced Materials Research 383-390 (listopad 2011): 7595–99. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.7595.
Pełny tekst źródłaFang, Jicheng, Dongqin Shen, Xiuyi Li i Huijia Li. "An efficient power load forecasting model based on the optimized combination". Modern Physics Letters B 34, nr 12 (30.03.2020): 2050114. http://dx.doi.org/10.1142/s0217984920501146.
Pełny tekst źródłaWürth, Ines, Laura Valldecabres, Elliot Simon, Corinna Möhrlen, Bahri Uzunoğlu, Ciaran Gilbert, Gregor Giebel, David Schlipf i Anton Kaifel. "Minute-Scale Forecasting of Wind Power—Results from the Collaborative Workshop of IEA Wind Task 32 and 36". Energies 12, nr 4 (21.02.2019): 712. http://dx.doi.org/10.3390/en12040712.
Pełny tekst źródłaLi, Chun Fa, i Ting Ting Sun. "Research on Technology Roadmaps of the Wind Power Industry Based on Bibliometrics and AHP Method - A Case Study of Wind Blade". Advanced Materials Research 1044-1045 (październik 2014): 397–400. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.397.
Pełny tekst źródłaOtero-Casal, Carlos, Platon Patlakas, Miguel A. Prósper, George Galanis i Gonzalo Miguez-Macho. "Development of a High-Resolution Wind Forecast System Based on the WRF Model and a Hybrid Kalman-Bayesian Filter". Energies 12, nr 16 (8.08.2019): 3050. http://dx.doi.org/10.3390/en12163050.
Pełny tekst źródłaVassallo, Daniel, Raghavendra Krishnamurthy, Thomas Sherman i Harindra J. S. Fernando. "Analysis of Random Forest Modeling Strategies for Multi-Step Wind Speed Forecasting". Energies 13, nr 20 (20.10.2020): 5488. http://dx.doi.org/10.3390/en13205488.
Pełny tekst źródłaGopalakrishnan, Kasthurirangan, i Konstantina Nadia Gkritza. "FORECASTING TRANSPORTATION INFRASTRUCTURE IMPACTS OF RENEWABLE ENERGY INDUSTRY USING NEURAL NETWORKS". Technological and Economic Development of Economy 19, Supplement_1 (28.01.2014): S157—S175. http://dx.doi.org/10.3846/20294913.2013.876690.
Pełny tekst źródłaDjalalova, Irina V., Laura Bianco, Elena Akish, James M. Wilczak, Joseph B. Olson, Jaymes S. Kenyon, Larry K. Berg i in. "Wind Ramp Events Validation in NWP Forecast Models during the Second Wind Forecast Improvement Project (WFIP2) Using the Ramp Tool and Metric (RT&M)". Weather and Forecasting 35, nr 6 (grudzień 2020): 2407–21. http://dx.doi.org/10.1175/waf-d-20-0072.1.
Pełny tekst źródłaJiang, Ping, i Qingli Dong. "A New Hybrid Model Based on an Intelligent Optimization Algorithm and a Data Denoising Method to Make Wind Speed Predication". Mathematical Problems in Engineering 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/714605.
Pełny tekst źródłaHuang, He, He Huang i Qiurui Liu. "Intelligent Retail Forecasting System for New Clothing Products Considering Stock-out". Fibres and Textiles in Eastern Europe 25 (28.02.2017): 10–16. http://dx.doi.org/10.5604/01.3001.0010.1704.
Pełny tekst źródłaBalakrishnan Sivakumar i Chikkamadaiah Nanjundaswamy. "Weather monitoring and forecasting system using IoT". Global Journal of Engineering and Technology Advances 8, nr 2 (30.08.2021): 008–16. http://dx.doi.org/10.30574/gjeta.2021.8.2.0109.
Pełny tekst źródłaK, Mahesh, Dr M. V. Vijayakumar i Gangadharaiah Y.H . "A Statistical Analysis and Datamining Approach for Wind Speed Predication". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, nr 2 (18.12.2014): 5464–78. http://dx.doi.org/10.24297/ijct.v14i2.2077.
Pełny tekst źródłaJiang, Ping, Shanshan Qin, Jie Wu i Beibei Sun. "Time Series Analysis and Forecasting for Wind Speeds Using Support Vector Regression Coupled with Artificial Intelligent Algorithms". Mathematical Problems in Engineering 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/939305.
Pełny tekst źródłaSchütz Roungkvist, Jannik, Peter Enevoldsen i George Xydis. "High-Resolution Electricity Spot Price Forecast for the Danish Power Market". Sustainability 12, nr 10 (22.05.2020): 4267. http://dx.doi.org/10.3390/su12104267.
Pełny tekst źródłaZhang, Yang, Yidong Peng, Xiuli Qu, Jing Shi i Ergin Erdem. "A Finite Mixture GARCH Approach with EM Algorithm for Energy Forecasting Applications". Energies 14, nr 9 (21.04.2021): 2352. http://dx.doi.org/10.3390/en14092352.
Pełny tekst źródłaIbrahim, Mariam, Ahmad Alsheikh, Qays Al-Hindawi, Sameer Al-Dahidi i Hisham ElMoaqet. "Short-Time Wind Speed Forecast Using Artificial Learning-Based Algorithms". Computational Intelligence and Neuroscience 2020 (25.04.2020): 1–15. http://dx.doi.org/10.1155/2020/8439719.
Pełny tekst źródłaSun, Rong Xia, Jian Li Wang, Pan Pan Huang, Jian Kang, Xiao Feng Chen i Yi Tian. "Design of Solar-Wind Complementary Grid-Connected Power Generation Monitoring System for Teaching". Advanced Materials Research 383-390 (listopad 2011): 3628–32. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.3628.
Pełny tekst źródłaGharehchopoghi, Farhad Soleimanian, Freshte Dabaghchi Mokri i Maryam Molany. "A New Approach in Short-Term Prediction of the Electrical Charge with Regression Models A Case Study". International Journal of Applied Metaheuristic Computing 4, nr 3 (lipiec 2013): 34–46. http://dx.doi.org/10.4018/ijamc.2013070103.
Pełny tekst źródłaAho, Jacob P., Andrew D. Buckspan, Fiona M. Dunne i Lucy Y. Pao. "Controlling Wind Energy for Utility Grid Reliability". Mechanical Engineering 135, nr 09 (1.09.2013): S4—S12. http://dx.doi.org/10.1115/1.2013-sep-4.
Pełny tekst źródłaYuan, Li. "The Research on Control Strategy of Worms Spread in Complex Network in Industry". Advanced Materials Research 487 (marzec 2012): 758–63. http://dx.doi.org/10.4028/www.scientific.net/amr.487.758.
Pełny tekst źródłaZiel, Florian. "Load Nowcasting: Predicting Actuals with Limited Data". Energies 13, nr 6 (20.03.2020): 1443. http://dx.doi.org/10.3390/en13061443.
Pełny tekst źródłaBaranowski, Paweł, Karol Korczak i Jarosław Zając. "Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland". Business Systems Research Journal 11, nr 1 (1.03.2020): 73–88. http://dx.doi.org/10.2478/bsrj-2020-0006.
Pełny tekst źródłaSoboń, Janusz, Natalia Burkina, Kostiantyn Sapun i Ruslana Seleznova. "Comphrensive Analysis of a Company's Activity by Means of Statistical Modeling as Support for its Decision-Making System". Financial Internet Quarterly 17, nr 1 (1.03.2021): 62–69. http://dx.doi.org/10.2478/fiqf-2021-0007.
Pełny tekst źródłaCarlsson-Hyslop, Anna. "Patronage and Practice in British Oceanography". Historical Studies in the Natural Sciences 46, nr 3 (1.06.2016): 270–312. http://dx.doi.org/10.1525/hsns.2016.46.3.270.
Pełny tekst źródłaShaw, William J., Larry K. Berg, Joel Cline, Caroline Draxl, Irina Djalalova, Eric P. Grimit, Julie K. Lundquist i in. "The Second Wind Forecast Improvement Project (WFIP2): General Overview". Bulletin of the American Meteorological Society 100, nr 9 (wrzesień 2019): 1687–99. http://dx.doi.org/10.1175/bams-d-18-0036.1.
Pełny tekst źródłaGreenslade, Diana, Mark Hemer, Alex Babanin, Ryan Lowe, Ian Turner, Hannah Power, Ian Young i in. "15 Priorities for Wind-Waves Research: An Australian Perspective". Bulletin of the American Meteorological Society 101, nr 4 (1.04.2020): E446—E461. http://dx.doi.org/10.1175/bams-d-18-0262.1.
Pełny tekst źródłaWang, Xi Bo, Ya Lin Lei i Min Yao. "China's Thermal Power Generation Forecasting Based on Generalized Weng Model". Advanced Materials Research 960-961 (czerwiec 2014): 503–9. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.503.
Pełny tekst źródłaFogaing, Mireille B. Tadie, Arman Hemmati, Carlos F. Lange i Brian A. Fleck. "Performance of Turbulence Models in Simulating Wind Loads on Photovoltaics Modules". Energies 12, nr 17 (26.08.2019): 3290. http://dx.doi.org/10.3390/en12173290.
Pełny tekst źródłaNapoli, Christian, Francesco Bonanno i Giacomo Capizzi. "An hybrid neuro-wavelet approach for long-term prediction of solar wind". Proceedings of the International Astronomical Union 6, S274 (wrzesień 2010): 153–55. http://dx.doi.org/10.1017/s174392131100679x.
Pełny tekst źródłaWilczak, James, Cathy Finley, Jeff Freedman, Joel Cline, Laura Bianco, Joseph Olson, Irina Djalalova i in. "The Wind Forecast Improvement Project (WFIP): A Public–Private Partnership Addressing Wind Energy Forecast Needs". Bulletin of the American Meteorological Society 96, nr 10 (1.10.2015): 1699–718. http://dx.doi.org/10.1175/bams-d-14-00107.1.
Pełny tekst źródłaSong, Xinfu, Gang Liang, Changzu Li i Weiwei Chen. "Electricity Consumption Prediction for Xinjiang Electric Energy Replacement". Mathematical Problems in Engineering 2019 (20.03.2019): 1–11. http://dx.doi.org/10.1155/2019/3262591.
Pełny tekst źródłaCifuentes, Jenny, Geovanny Marulanda, Antonio Bello i Javier Reneses. "Air Temperature Forecasting Using Machine Learning Techniques: A Review". Energies 13, nr 16 (14.08.2020): 4215. http://dx.doi.org/10.3390/en13164215.
Pełny tekst źródłaHuang, Yang, Gao, Jiang i Dong. "A Novel Prediction Approach for Short-Term Renewable Energy Consumption in China Based on Improved Gaussian Process Regression". Energies 12, nr 21 (1.11.2019): 4181. http://dx.doi.org/10.3390/en12214181.
Pełny tekst źródłaEl Hariri, Mohamad, Eric Harmon, Tarek Youssef, Mahmoud Saleh, Hany Habib i Osama Mohammed. "The IEC 61850 Sampled Measured Values Protocol: Analysis, Threat Identification, and Feasibility of Using NN Forecasters to Detect Spoofed Packets". Energies 12, nr 19 (29.09.2019): 3731. http://dx.doi.org/10.3390/en12193731.
Pełny tekst źródłaChernyakov, Mikhail, Olesya Usacheva i Maria Chernyakova. "Impact of Digitalisation on Corporate Finance in the Agricultural Sector". Journal of Corporate Finance Research / Корпоративные Финансы | ISSN: 2073-0438 15, nr 1 (17.05.2021): 48–66. http://dx.doi.org/10.17323/j.jcfr.2073-0438.15.1.2021.48-66.
Pełny tekst źródłaKlyuchnikova, E. M., L. G. Isaeva, A. V. Masloboev, T. E. Alieva, L. V. Ivanova i G. N. Kharitonova. "Future narratives for key sectors of the economy of the Murmansk region in the context of global changes in the Arctic". Arctic: Ecology and Economy, nr 1(25) (marzec 2017): 19–31. http://dx.doi.org/10.25283/2223-4594-2017-1-19-31.
Pełny tekst źródłaNoskov, S. I., M. P. Bazilevskiy i I. P. Vrublevskiy. "Assessment of the results of the medium-term forecast of railway performance". Herald of the Ural State University of Railway Transport, nr 1 (2020): 51–57. http://dx.doi.org/10.20291/2079-0392-2020-1-51-57.
Pełny tekst źródłaLetson, F., T. J. Shepherd, R. J. Barthelmie i S. C. Pryor. "WRF Modeling of Deep Convection and Hail for Wind Power Applications". Journal of Applied Meteorology and Climatology 59, nr 10 (1.10.2020): 1717–33. http://dx.doi.org/10.1175/jamc-d-20-0033.1.
Pełny tekst źródłaUlazia, Alain, Gabriel Ibarra-Berastegi, Jon Sáenz, Sheila Carreno-Madinabeitia i Santos J. González-Rojí. "Seasonal Correction of Offshore Wind Energy Potential due to Air Density: Case of the Iberian Peninsula". Sustainability 11, nr 13 (2.07.2019): 3648. http://dx.doi.org/10.3390/su11133648.
Pełny tekst źródłaSkliris, Nikolaos, Robert Marsh, Meric Srokosz, Yevgeny Aksenov, Stefanie Rynders i Nicolas Fournier. "Assessing Extreme Environmental Loads on Offshore Structures in the North Sea from High-Resolution Ocean Currents, Waves and Wind Forecasting". Journal of Marine Science and Engineering 9, nr 10 (24.09.2021): 1052. http://dx.doi.org/10.3390/jmse9101052.
Pełny tekst źródłaRehan, R., M. Nehdi i S. P. Simonovic. "Policy making for greening the concrete industry in Canada: a systems thinking approach". Canadian Journal of Civil Engineering 32, nr 1 (1.02.2005): 99–113. http://dx.doi.org/10.1139/l04-086.
Pełny tekst źródłaMitchell, Meghan J., Brian Ancell, Jared A. Lee i Nicholas H. Smith. "Configuration of Statistical Postprocessing Techniques for Improved Low-Level Wind Speed Forecasts in West Texas". Weather and Forecasting 35, nr 1 (20.01.2020): 129–47. http://dx.doi.org/10.1175/waf-d-18-0186.1.
Pełny tekst źródłaShirinov, A. Sh o. "Experience of Localizing Value Chains in the Automotive Industry". Economics and Management 27, nr 2 (1.05.2021): 117–31. http://dx.doi.org/10.35854/1998-1627-2021-2-117-131.
Pełny tekst źródłaBuhr, Renko, Hassan Kassem, Gerald Steinfeld, Michael Alletto, Björn Witha i Martin Dörenkämper. "A Multi-Point Meso–Micro Downscaling Method Including Atmospheric Stratification". Energies 14, nr 4 (23.02.2021): 1191. http://dx.doi.org/10.3390/en14041191.
Pełny tekst źródłaHoughton, Ronald C. C. "Aircraft Fuel Savings in Jet Streams by Maximising Features of Flight Mechanics and Navigation". Journal of Navigation 51, nr 3 (wrzesień 1998): 360–67. http://dx.doi.org/10.1017/s0373463398007966.
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