Zeitschriftenartikel zum Thema „Wine industry Forecasting“
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Steinhagen, Sigrun, Jenny Darroch und Bill Bailey. „Forecasting in the Wine Industry: An Exploratory Study“. International Journal of Wine Marketing 10, Nr. 1 (Januar 1998): 13–24. http://dx.doi.org/10.1108/eb008674.
Sturman, Andrew, Peyman Zawar-Reza, Iman Soltanzadeh, Marwan Katurji, Valérie Bonnardot, Amber Kaye Parker, Michael C. T. Trought et al. „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.
Sturman, Andrew, Peyman Zawar-Reza, Iman Soltanzadeh, Marwan Katurji, Valérie Bonnardot, Amber Kaye Parker, Michael C. T. Trought et al. „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.
Haouas, Nabiha, und Pierre R. Bertrand. „Wind Farm Power Forecasting“. Mathematical Problems in Engineering 2013 (2013): 1–5. http://dx.doi.org/10.1155/2013/163565.
Sopeña, Juan Manuel González, Vikram Pakrashi und Bidisha Ghosh. „Decomposition-Based Hybrid Models for Very Short-Term Wind Power Forecasting“. Engineering Proceedings 5, Nr. 1 (07.07.2021): 39. http://dx.doi.org/10.3390/engproc2021005039.
Li, Guo Jian, und Yan Jun Hu. „Analysis and Discussion of the Influence Factors of the Wind Power“. Advanced Materials Research 383-390 (November 2011): 7595–99. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.7595.
Fang, Jicheng, Dongqin Shen, Xiuyi Li und 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.
Würth, Ines, Laura Valldecabres, Elliot Simon, Corinna Möhrlen, Bahri Uzunoğlu, Ciaran Gilbert, Gregor Giebel, David Schlipf und 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.
Li, Chun Fa, und 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 (Oktober 2014): 397–400. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.397.
Otero-Casal, Carlos, Platon Patlakas, Miguel A. Prósper, George Galanis und 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 (08.08.2019): 3050. http://dx.doi.org/10.3390/en12163050.
Vassallo, Daniel, Raghavendra Krishnamurthy, Thomas Sherman und 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.
Gopalakrishnan, Kasthurirangan, und 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.
Djalalova, Irina V., Laura Bianco, Elena Akish, James M. Wilczak, Joseph B. Olson, Jaymes S. Kenyon, Larry K. Berg et al. „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 (Dezember 2020): 2407–21. http://dx.doi.org/10.1175/waf-d-20-0072.1.
Jiang, Ping, und 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.
Huang, He, He Huang und 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.
Balakrishnan Sivakumar und 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.
K, Mahesh, Dr M. V. Vijayakumar und 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.
Jiang, Ping, Shanshan Qin, Jie Wu und 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.
Schütz Roungkvist, Jannik, Peter Enevoldsen und 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.
Zhang, Yang, Yidong Peng, Xiuli Qu, Jing Shi und 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.
Ibrahim, Mariam, Ahmad Alsheikh, Qays Al-Hindawi, Sameer Al-Dahidi und 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.
Sun, Rong Xia, Jian Li Wang, Pan Pan Huang, Jian Kang, Xiao Feng Chen und Yi Tian. „Design of Solar-Wind Complementary Grid-Connected Power Generation Monitoring System for Teaching“. Advanced Materials Research 383-390 (November 2011): 3628–32. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.3628.
Gharehchopoghi, Farhad Soleimanian, Freshte Dabaghchi Mokri und 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 (Juli 2013): 34–46. http://dx.doi.org/10.4018/ijamc.2013070103.
Aho, Jacob P., Andrew D. Buckspan, Fiona M. Dunne und Lucy Y. Pao. „Controlling Wind Energy for Utility Grid Reliability“. Mechanical Engineering 135, Nr. 09 (01.09.2013): S4—S12. http://dx.doi.org/10.1115/1.2013-sep-4.
Yuan, Li. „The Research on Control Strategy of Worms Spread in Complex Network in Industry“. Advanced Materials Research 487 (März 2012): 758–63. http://dx.doi.org/10.4028/www.scientific.net/amr.487.758.
Ziel, Florian. „Load Nowcasting: Predicting Actuals with Limited Data“. Energies 13, Nr. 6 (20.03.2020): 1443. http://dx.doi.org/10.3390/en13061443.
Baranowski, Paweł, Karol Korczak und Jarosław Zając. „Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland“. Business Systems Research Journal 11, Nr. 1 (01.03.2020): 73–88. http://dx.doi.org/10.2478/bsrj-2020-0006.
Soboń, Janusz, Natalia Burkina, Kostiantyn Sapun und 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 (01.03.2021): 62–69. http://dx.doi.org/10.2478/fiqf-2021-0007.
Carlsson-Hyslop, Anna. „Patronage and Practice in British Oceanography“. Historical Studies in the Natural Sciences 46, Nr. 3 (01.06.2016): 270–312. http://dx.doi.org/10.1525/hsns.2016.46.3.270.
Shaw, William J., Larry K. Berg, Joel Cline, Caroline Draxl, Irina Djalalova, Eric P. Grimit, Julie K. Lundquist et al. „The Second Wind Forecast Improvement Project (WFIP2): General Overview“. Bulletin of the American Meteorological Society 100, Nr. 9 (September 2019): 1687–99. http://dx.doi.org/10.1175/bams-d-18-0036.1.
Greenslade, Diana, Mark Hemer, Alex Babanin, Ryan Lowe, Ian Turner, Hannah Power, Ian Young et al. „15 Priorities for Wind-Waves Research: An Australian Perspective“. Bulletin of the American Meteorological Society 101, Nr. 4 (01.04.2020): E446—E461. http://dx.doi.org/10.1175/bams-d-18-0262.1.
Wang, Xi Bo, Ya Lin Lei und Min Yao. „China's Thermal Power Generation Forecasting Based on Generalized Weng Model“. Advanced Materials Research 960-961 (Juni 2014): 503–9. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.503.
Fogaing, Mireille B. Tadie, Arman Hemmati, Carlos F. Lange und 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.
Napoli, Christian, Francesco Bonanno und Giacomo Capizzi. „An hybrid neuro-wavelet approach for long-term prediction of solar wind“. Proceedings of the International Astronomical Union 6, S274 (September 2010): 153–55. http://dx.doi.org/10.1017/s174392131100679x.
Wilczak, James, Cathy Finley, Jeff Freedman, Joel Cline, Laura Bianco, Joseph Olson, Irina Djalalova et al. „The Wind Forecast Improvement Project (WFIP): A Public–Private Partnership Addressing Wind Energy Forecast Needs“. Bulletin of the American Meteorological Society 96, Nr. 10 (01.10.2015): 1699–718. http://dx.doi.org/10.1175/bams-d-14-00107.1.
Song, Xinfu, Gang Liang, Changzu Li und 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.
Cifuentes, Jenny, Geovanny Marulanda, Antonio Bello und 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.
Huang, Yang, Gao, Jiang und Dong. „A Novel Prediction Approach for Short-Term Renewable Energy Consumption in China Based on Improved Gaussian Process Regression“. Energies 12, Nr. 21 (01.11.2019): 4181. http://dx.doi.org/10.3390/en12214181.
El Hariri, Mohamad, Eric Harmon, Tarek Youssef, Mahmoud Saleh, Hany Habib und 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.
Chernyakov, Mikhail, Olesya Usacheva und 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.
Klyuchnikova, E. M., L. G. Isaeva, A. V. Masloboev, T. E. Alieva, L. V. Ivanova und 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) (März 2017): 19–31. http://dx.doi.org/10.25283/2223-4594-2017-1-19-31.
Noskov, S. I., M. P. Bazilevskiy und 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.
Letson, F., T. J. Shepherd, R. J. Barthelmie und S. C. Pryor. „WRF Modeling of Deep Convection and Hail for Wind Power Applications“. Journal of Applied Meteorology and Climatology 59, Nr. 10 (01.10.2020): 1717–33. http://dx.doi.org/10.1175/jamc-d-20-0033.1.
Ulazia, Alain, Gabriel Ibarra-Berastegi, Jon Sáenz, Sheila Carreno-Madinabeitia und Santos J. González-Rojí. „Seasonal Correction of Offshore Wind Energy Potential due to Air Density: Case of the Iberian Peninsula“. Sustainability 11, Nr. 13 (02.07.2019): 3648. http://dx.doi.org/10.3390/su11133648.
Skliris, Nikolaos, Robert Marsh, Meric Srokosz, Yevgeny Aksenov, Stefanie Rynders und 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.
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Mitchell, Meghan J., Brian Ancell, Jared A. Lee und 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.
Shirinov, A. Sh o. „Experience of Localizing Value Chains in the Automotive Industry“. Economics and Management 27, Nr. 2 (01.05.2021): 117–31. http://dx.doi.org/10.35854/1998-1627-2021-2-117-131.
Buhr, Renko, Hassan Kassem, Gerald Steinfeld, Michael Alletto, Björn Witha und 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.
Houghton, Ronald C. C. „Aircraft Fuel Savings in Jet Streams by Maximising Features of Flight Mechanics and Navigation“. Journal of Navigation 51, Nr. 3 (September 1998): 360–67. http://dx.doi.org/10.1017/s0373463398007966.