Articles de revues sur le sujet « Wine industry Forecasting »
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Steinhagen, Sigrun, Jenny Darroch et Bill Bailey. « Forecasting in the Wine Industry : An Exploratory Study ». International Journal of Wine Marketing 10, no 1 (janvier 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, no 2 (15 mai 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, no 2 (15 mai 2017) : 99–105. http://dx.doi.org/10.20870/oeno-one.2017.51.2.1538.
Haouas, Nabiha, et 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 et Bidisha Ghosh. « Decomposition-Based Hybrid Models for Very Short-Term Wind Power Forecasting ». Engineering Proceedings 5, no 1 (7 juillet 2021) : 39. http://dx.doi.org/10.3390/engproc2021005039.
Li, Guo Jian, et Yan Jun Hu. « Analysis and Discussion of the Influence Factors of the Wind Power ». Advanced Materials Research 383-390 (novembre 2011) : 7595–99. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.7595.
Fang, Jicheng, Dongqin Shen, Xiuyi Li et Huijia Li. « An efficient power load forecasting model based on the optimized combination ». Modern Physics Letters B 34, no 12 (30 mars 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 et Anton Kaifel. « Minute-Scale Forecasting of Wind Power—Results from the Collaborative Workshop of IEA Wind Task 32 and 36 ». Energies 12, no 4 (21 février 2019) : 712. http://dx.doi.org/10.3390/en12040712.
Li, Chun Fa, et 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 (octobre 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 et Gonzalo Miguez-Macho. « Development of a High-Resolution Wind Forecast System Based on the WRF Model and a Hybrid Kalman-Bayesian Filter ». Energies 12, no 16 (8 août 2019) : 3050. http://dx.doi.org/10.3390/en12163050.
Vassallo, Daniel, Raghavendra Krishnamurthy, Thomas Sherman et Harindra J. S. Fernando. « Analysis of Random Forest Modeling Strategies for Multi-Step Wind Speed Forecasting ». Energies 13, no 20 (20 octobre 2020) : 5488. http://dx.doi.org/10.3390/en13205488.
Gopalakrishnan, Kasthurirangan, et Konstantina Nadia Gkritza. « FORECASTING TRANSPORTATION INFRASTRUCTURE IMPACTS OF RENEWABLE ENERGY INDUSTRY USING NEURAL NETWORKS ». Technological and Economic Development of Economy 19, Supplement_1 (28 janvier 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, no 6 (décembre 2020) : 2407–21. http://dx.doi.org/10.1175/waf-d-20-0072.1.
Jiang, Ping, et 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 et Qiurui Liu. « Intelligent Retail Forecasting System for New Clothing Products Considering Stock-out ». Fibres and Textiles in Eastern Europe 25 (28 février 2017) : 10–16. http://dx.doi.org/10.5604/01.3001.0010.1704.
Balakrishnan Sivakumar et Chikkamadaiah Nanjundaswamy. « Weather monitoring and forecasting system using IoT ». Global Journal of Engineering and Technology Advances 8, no 2 (30 août 2021) : 008–16. http://dx.doi.org/10.30574/gjeta.2021.8.2.0109.
K, Mahesh, Dr M. V. Vijayakumar et Gangadharaiah Y.H . « A Statistical Analysis and Datamining Approach for Wind Speed Predication ». INTERNATIONAL JOURNAL OF COMPUTERS & ; TECHNOLOGY 14, no 2 (18 décembre 2014) : 5464–78. http://dx.doi.org/10.24297/ijct.v14i2.2077.
Jiang, Ping, Shanshan Qin, Jie Wu et 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 et George Xydis. « High-Resolution Electricity Spot Price Forecast for the Danish Power Market ». Sustainability 12, no 10 (22 mai 2020) : 4267. http://dx.doi.org/10.3390/su12104267.
Zhang, Yang, Yidong Peng, Xiuli Qu, Jing Shi et Ergin Erdem. « A Finite Mixture GARCH Approach with EM Algorithm for Energy Forecasting Applications ». Energies 14, no 9 (21 avril 2021) : 2352. http://dx.doi.org/10.3390/en14092352.
Ibrahim, Mariam, Ahmad Alsheikh, Qays Al-Hindawi, Sameer Al-Dahidi et Hisham ElMoaqet. « Short-Time Wind Speed Forecast Using Artificial Learning-Based Algorithms ». Computational Intelligence and Neuroscience 2020 (25 avril 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 et Yi Tian. « Design of Solar-Wind Complementary Grid-Connected Power Generation Monitoring System for Teaching ». Advanced Materials Research 383-390 (novembre 2011) : 3628–32. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.3628.
Gharehchopoghi, Farhad Soleimanian, Freshte Dabaghchi Mokri et 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, no 3 (juillet 2013) : 34–46. http://dx.doi.org/10.4018/ijamc.2013070103.
Aho, Jacob P., Andrew D. Buckspan, Fiona M. Dunne et Lucy Y. Pao. « Controlling Wind Energy for Utility Grid Reliability ». Mechanical Engineering 135, no 09 (1 septembre 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 (mars 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, no 6 (20 mars 2020) : 1443. http://dx.doi.org/10.3390/en13061443.
Baranowski, Paweł, Karol Korczak et Jarosław Zając. « Forecasting Cinema Attendance at the Movie Show Level : Evidence from Poland ». Business Systems Research Journal 11, no 1 (1 mars 2020) : 73–88. http://dx.doi.org/10.2478/bsrj-2020-0006.
Soboń, Janusz, Natalia Burkina, Kostiantyn Sapun et 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, no 1 (1 mars 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, no 3 (1 juin 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, no 9 (septembre 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, no 4 (1 avril 2020) : E446—E461. http://dx.doi.org/10.1175/bams-d-18-0262.1.
Wang, Xi Bo, Ya Lin Lei et Min Yao. « China's Thermal Power Generation Forecasting Based on Generalized Weng Model ». Advanced Materials Research 960-961 (juin 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 et Brian A. Fleck. « Performance of Turbulence Models in Simulating Wind Loads on Photovoltaics Modules ». Energies 12, no 17 (26 août 2019) : 3290. http://dx.doi.org/10.3390/en12173290.
Napoli, Christian, Francesco Bonanno et Giacomo Capizzi. « An hybrid neuro-wavelet approach for long-term prediction of solar wind ». Proceedings of the International Astronomical Union 6, S274 (septembre 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, no 10 (1 octobre 2015) : 1699–718. http://dx.doi.org/10.1175/bams-d-14-00107.1.
Song, Xinfu, Gang Liang, Changzu Li et Weiwei Chen. « Electricity Consumption Prediction for Xinjiang Electric Energy Replacement ». Mathematical Problems in Engineering 2019 (20 mars 2019) : 1–11. http://dx.doi.org/10.1155/2019/3262591.
Cifuentes, Jenny, Geovanny Marulanda, Antonio Bello et Javier Reneses. « Air Temperature Forecasting Using Machine Learning Techniques : A Review ». Energies 13, no 16 (14 août 2020) : 4215. http://dx.doi.org/10.3390/en13164215.
Huang, Yang, Gao, Jiang et Dong. « A Novel Prediction Approach for Short-Term Renewable Energy Consumption in China Based on Improved Gaussian Process Regression ». Energies 12, no 21 (1 novembre 2019) : 4181. http://dx.doi.org/10.3390/en12214181.
El Hariri, Mohamad, Eric Harmon, Tarek Youssef, Mahmoud Saleh, Hany Habib et Osama Mohammed. « The IEC 61850 Sampled Measured Values Protocol : Analysis, Threat Identification, and Feasibility of Using NN Forecasters to Detect Spoofed Packets ». Energies 12, no 19 (29 septembre 2019) : 3731. http://dx.doi.org/10.3390/en12193731.
Chernyakov, Mikhail, Olesya Usacheva et Maria Chernyakova. « Impact of Digitalisation on Corporate Finance in the Agricultural Sector ». Journal of Corporate Finance Research / Корпоративные Финансы | ISSN : 2073-0438 15, no 1 (17 mai 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 et 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, no 1(25) (mars 2017) : 19–31. http://dx.doi.org/10.25283/2223-4594-2017-1-19-31.
Noskov, S. I., M. P. Bazilevskiy et I. P. Vrublevskiy. « Assessment of the results of the medium-term forecast of railway performance ». Herald of the Ural State University of Railway Transport, no 1 (2020) : 51–57. http://dx.doi.org/10.20291/2079-0392-2020-1-51-57.
Letson, F., T. J. Shepherd, R. J. Barthelmie et S. C. Pryor. « WRF Modeling of Deep Convection and Hail for Wind Power Applications ». Journal of Applied Meteorology and Climatology 59, no 10 (1 octobre 2020) : 1717–33. http://dx.doi.org/10.1175/jamc-d-20-0033.1.
Ulazia, Alain, Gabriel Ibarra-Berastegi, Jon Sáenz, Sheila Carreno-Madinabeitia et Santos J. González-Rojí. « Seasonal Correction of Offshore Wind Energy Potential due to Air Density : Case of the Iberian Peninsula ». Sustainability 11, no 13 (2 juillet 2019) : 3648. http://dx.doi.org/10.3390/su11133648.
Skliris, Nikolaos, Robert Marsh, Meric Srokosz, Yevgeny Aksenov, Stefanie Rynders et 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, no 10 (24 septembre 2021) : 1052. http://dx.doi.org/10.3390/jmse9101052.
Rehan, R., M. Nehdi et S. P. Simonovic. « Policy making for greening the concrete industry in Canada : a systems thinking approach ». Canadian Journal of Civil Engineering 32, no 1 (1 février 2005) : 99–113. http://dx.doi.org/10.1139/l04-086.
Mitchell, Meghan J., Brian Ancell, Jared A. Lee et Nicholas H. Smith. « Configuration of Statistical Postprocessing Techniques for Improved Low-Level Wind Speed Forecasts in West Texas ». Weather and Forecasting 35, no 1 (20 janvier 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, no 2 (1 mai 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 et Martin Dörenkämper. « A Multi-Point Meso–Micro Downscaling Method Including Atmospheric Stratification ». Energies 14, no 4 (23 février 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, no 3 (septembre 1998) : 360–67. http://dx.doi.org/10.1017/s0373463398007966.