Thematische Bibliographien / Wine industry Forecasting

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte

Auswahl der wissenschaftlichen Literatur zum Thema „Wine industry Forecasting“

Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 19. Februar 2022

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Zeitschriftenartikel zum Thema "Wine industry Forecasting"

1

Steinhagen, Sigrun, Jenny Darroch, and Bill Bailey. "Forecasting in the Wine Industry: An Exploratory Study." International Journal of Wine Marketing 10, no. 1 (January 1998): 13–24. http://dx.doi.org/10.1108/eb008674.

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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 (May 15, 2017): 99. http://dx.doi.org/10.20870/oeno-one.2016.0.0.1538.

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<p>Grapevines are highly sensitive to environmental conditions, with variability in weather and climate (particularly temperature) having a significant influence on wine quality, quantity and style. Improved knowledge of spatial and temporal variations in climate and their impact on grapevine response allows better decision-making to help maintain a sustainable wine industry in the context of medium to long term climate change. This paper describes recent research into the application of mesoscale weather and climate models that aims to improve our understanding of climate variability at
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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 (May 15, 2017): 99–105. http://dx.doi.org/10.20870/oeno-one.2017.51.2.1538.

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Grapevines are highly sensitive to environmental conditions, with variability in weather and climate (particularly temperature) having a significant influence on wine quality, quantity and style. Improved knowledge of spatial and temporal variations in climate and their impact on grapevine response allows better decision-making to help maintain a sustainable wine industry in the context of medium to long term climate change. This paper describes recent research into the application of mesoscale weather and climate models that aims to improve our understanding of climate variability at high spa
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Haouas, Nabiha, and Pierre R. Bertrand. "Wind Farm Power Forecasting." Mathematical Problems in Engineering 2013 (2013): 1–5. http://dx.doi.org/10.1155/2013/163565.

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Forecasting annual wind power production is useful for the energy industry. Until recently, attention has only been paid to the mean annual wind power energy and statistical uncertainties on this forecasting. Recently, Bensoussan et al. (2012) have pointed that the annual wind power produced by one wind turbine is a Gaussian random variable under a reasonable set of assumptions. Moreover, they can derive both mean and quantiles of annual wind power produced by one wind turbine. The novelty of this work is the obtainment of similar results for estimating the annual wind farm power production. E
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Sopeña, Juan Manuel González, Vikram Pakrashi, and Bidisha Ghosh. "Decomposition-Based Hybrid Models for Very Short-Term Wind Power Forecasting." Engineering Proceedings 5, no. 1 (July 7, 2021): 39. http://dx.doi.org/10.3390/engproc2021005039.

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Wind power forecasting is a tool used in the energy industry for a wide range of applications, such as energy trading and the operation of the grid. A set of models known as decomposition-based hybrid models have stood out in recent times due to promising results in terms of performance. As many publications on this matter are found in the literature, a comparison of these models is difficult, because they are tested under different conditions in terms of data, prediction horizon, and time resolution. In this paper, we provide a comparison unifying these parameters using the main decomposition
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Li, Guo Jian, and 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.

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Wind as a renewable energy, is typical of clean energy, and wind power generation has good social and environmental benefits, which has developed rapidly in worldwide. In this paper, the problems of China's wind power industry and the world wind power industry experience are discussed. The distribution of resources for wind energy, wind energy resource assessment, monitoring and forecasting system, wind industry, policy influencing factors are detailed analysis, and based on China conditions for its development were discussed.
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Fang, Jicheng, Dongqin Shen, Xiuyi Li, and Huijia Li. "An efficient power load forecasting model based on the optimized combination." Modern Physics Letters B 34, no. 12 (March 30, 2020): 2050114. http://dx.doi.org/10.1142/s0217984920501146.

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The new energy industry gains more and more attention since the problem of resource scarcity and utilization of the renewable energy has become a global highlight issue. In this paper, we propose a new load forecasting model under the development of new energy industry by choosing the typical wind power as the key subject, which is also an important reference for other energy industries. The wind power load forecasting model is built based on optimized combination, which is forecasted and analyzed by the time series, the Markov and the gray forecasting models individually, and then combined by
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Würth, Ines, Laura Valldecabres, Elliot Simon, Corinna Möhrlen, Bahri Uzunoğlu, Ciaran Gilbert, Gregor Giebel, David Schlipf, and Anton Kaifel. "Minute-Scale Forecasting of Wind Power—Results from the Collaborative Workshop of IEA Wind Task 32 and 36." Energies 12, no. 4 (February 21, 2019): 712. http://dx.doi.org/10.3390/en12040712.

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The demand for minute-scale forecasts of wind power is continuously increasing with the growing penetration of renewable energy into the power grid, as grid operators need to ensure grid stability in the presence of variable power generation. For this reason, IEA Wind Tasks 32 and 36 together organized a workshop on “Very Short-Term Forecasting of Wind Power” in 2018 to discuss different approaches for the implementation of minute-scale forecasts into the power industry. IEA Wind is an international platform for the research community and industry. Task 32 tries to identify and mitigate barrie
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Li, Chun Fa, and 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 (October 2014): 397–400. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.397.

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By taking wind turbine blade as an example, this article built the technology roadmaps model to research the critical techniques in wind power industry. In particular, the collection and visualized analysis were implemented with the use of bibliometrics and relative software; we realized the technology assessment of critical techniques by structuring AHP model; finally, the technology roadmaps were made based on evaluation result and the technology forecasting of wind blades was realized combining with the industry conditions.Please make t
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Otero-Casal, Carlos, Platon Patlakas, Miguel A. Prósper, George Galanis, and 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 (August 8, 2019): 3050. http://dx.doi.org/10.3390/en12163050.

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Regional microscale meteorological models have become a critical tool for wind farm production forecasting due to their capacity for resolving local flow dynamics. The high demand for reliable forecasting tools in the energy industry is the motivation for the development of an integrated system that combines the Weather Research and Forecasting (WRF) atmospheric model with an optimization obtained by the conjunction of a Kalman filter and a Bayesian model. This study focuses on the development and validation of this combined system in a very dense wind farm cluster located in Galicia (Northwes
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Dissertationen zum Thema "Wine industry Forecasting"

1

Berger, Nicholas. "Modelling structural and policy changes in the world wine market into the 21st century." Title page, contents and abstract only, 2000. http://web4.library.adelaide.edu.au/theses/09ECM/09ecmb496.pdf.

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Includes bibliographical references. Addresses the question of what an economic model of the world wine market suggests will happen to wine production, consumption, trade and prices in various regions in the early 21st century. A subsidiary issue is what difference would global or European regional wine liberalisation make to that outlook, according to such a model. Accompanying CD-ROM comprises spreadsheet written by Nick Berger, November 2000, for the Windows and Office97 versions of Excel; a seven region world wine model (WWM7) - base version projecting the world wine market 1996-2005 as a
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Jourdier, Bénédicte. "Study and implementation of mesoscale weather forecasting models in the wind industry." Thesis, KTH, Kraft- och värmeteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91322.

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As the wind industry is developing, it is asking for more reliable short-term wind forecasts to better manage the wind farms’ operations and electricity production. Developing new wind farms also requires correct assessments of the long-term wind potentials to decide whether to install a wind farm at a specific location. This thesis is studying a new generation of numerical weather forecasting models, named mesoscale models, to see how they could answer those needs. It is held at the company Maïa Eolis which operates several wind farms in France. A mesoscale model, the Weather Research and For
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Lledó, Ponsatí Llorenç. "Climate variability predictions for the wind energy industry: a climate services perspective." Doctoral thesis, Universitat de Barcelona, 2020. http://hdl.handle.net/10803/670882.

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In order to mitigate the climate change effects, the world is undergoing an energy transition from polluting sources towards renewable energies. This transition is turning the electricity system more dependent on atmospheric conditions and more prone to suffer the effects of climate variability. The atmospheric circulation is changing in certain aspects due to increasing concentrations of greenhouse gases in the atmosphere, but it also varies from year to year due to natural variability processes occurring in the Earth system at timescales of weeks, months and years. The atmosphere intera
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Dias, Paula Samara Oliveira Araújo Coelho de Souza. "Aplicação de princípios e ferramentas Lean na melhoria de processos de uma indústria de vinhos." Master's thesis, 2019. http://hdl.handle.net/1822/64151.

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Dissertação de mestrado em Engenharia e Gestão da Qualidade<br>Para se manterem competitivas e assegurarem a sustentabilidade dos seus negócios, as organizações, em particular as indústrias do vinho, precisam de definir e rever continuamente a sua estratégia e, a partir desta, elaborar e por em prática um plano de ação orientado para os resultados desejados, que integre os planos de vendas e de produção. Assim, para o sucesso da estratégia empresarial é importante que o plano de vendas esteja assente num bom modelo de previsão de procura e que o processo produtivo seja eficiente. Nesse sentido
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Lee, Hsing-Wei, and 李興煒. "A Sales Forecasting Model for Low Voltage Power Cable - A Case Study of Taiwan Wire and Cable Industry." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/syavws.

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碩士<br>輔仁大學<br>企業管理學系管理學碩士在職專班<br>107<br>The traditional industry of wire and cable in Taiwan has constructed over six decades, not only has the supply chain in the region complete built, but also has developed overseas and spanned to different industries. However, the international environment has become more and more intense due to the Sino-US trade war. Not only caused China’s 40 years lasting economic sprinting development staggered, and fallen into a major adjustment. The Taiwanese manufacturers are facing the rising wolf-like competitors from China and break into the ferocious red sea mar
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Bücher zum Thema "Wine industry Forecasting"

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Ali, Abdalla, and Australian Bureau of Agricultural and Resource Economics., eds. Wine grapes: Projections of wine grape production and winery intake to 1994-95. Canberra: Australian Bureau of Agricultural and Resource Economics, 1992.

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Industrieller, Vereinigung Österreichischer, Österreichische Investitionskredit Aktiengesellschaft, and Österreichische Industrieverwaltungs-Aktiengesellschaft, eds. Industrie 2000: Im Haus der Industrie : eine Konferenz über die österreichische Industrie im Jahr 2000, Wien, 25.-27. Oktober 1985 : Dokumentation. Wien: Signum, 1986.

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Potential economic benefits from commercial wind power facilities in the state of New Mexico. Denver, Colo: BBC Research & Consulting, 2000.

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Buchteile zum Thema "Wine industry Forecasting"

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Phan, Kenny, and Tugrul Daim. "Forecasting the Maturity of Alternate Wind Turbine Technologies Through Patent Analysis." In Research and Technology Management in the Electricity Industry, 189–211. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5097-8_8.

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Brenner, Daniel, Dietmar Tilch, and Patrick Bangert. "Forecasting wind power plant failures." In Machine Learning and Data Science in the Power Generation Industry, 241–53. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-819742-4.00012-3.

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Chen, Zixin, Yongqian Liu, Aimei Lin, Shuang Han, Li Li, and Jie Yan*. "Wind power ramp forecasting based on deep metric learning." In Emerging Developments in the Power and Energy Industry, 572–80. CRC Press, 2019. http://dx.doi.org/10.1201/9780429295300-73.

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Abdou, Alaa, John Lewis, Moh’d A. Radaideh, and Sameera Al Zarooni. "Web-Based Information Systems in Construction Industry." In Encyclopedia of Internet Technologies and Applications, 702–10. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59140-993-9.ch099.

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This paper describes the development and construction of a Web-based system for the appraisal stage of public healthcare construction projects in the United Arab Emirates. The system is implemented on the World Wide Web. PHP and MySQL were selected as the scripting language and database management system to build this system prototype. Its main objectives focus on assisting decision-makers in examining different function program alternatives and their associated conceptual budgets. In addition, the system facilitates reflecting uncertainty and risk factors associated with healthcare space programming into cost estimating and forecasting processes.
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Deo, Ravinesh C., Sujan Ghimire, Nathan J. Downs, and Nawin Raj. "Optimization of Windspeed Prediction Using an Artificial Neural Network Compared With a Genetic Programming Model." In Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, 116–47. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8048-6.ch007.

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The precise prediction of windspeed is essential in order to improve and optimize wind power prediction. However, due to the sporadic and inherent complexity of weather parameters, the prediction of windspeed data using different patterns is difficult. Machine learning (ML) is a powerful tool to deal with uncertainty and has been widely discussed and applied in renewable energy forecasting. In this chapter, the authors present and compare an artificial neural network (ANN) and genetic programming (GP) model as a tool to predict windspeed of 15 locations in Queensland, Australia. After performing feature selection using neighborhood component analysis (NCA) from 11 different metrological parameters, seven of the most important predictor variables were chosen for 85 Queensland locations, 60 of which were used for training the model, 10 locations for model validation, and 15 locations for the model testing. For all 15 target sites, the testing performance of ANN was significantly superior to the GP model.
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Pal, Kamalendu. "Building High Quality Big Data-Based Applications in Supply Chains." In Supply Chain Management Strategies and Risk Assessment in Retail Environments, 1–24. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3056-5.ch001.

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Global retail business has become diverse and latest Information Technology (IT) advancements have created new possibilities for the management of the deluge of data generated by world-wide business operations of its supply chain. In this business, external data from social media and supplier networks provide a huge influx to augment existing data. This is combined with data from sensors and intelligent machines, commonly known as Internet of Things (IoT) data. This data, originating from the global retail supply chain, is simply known as Big Data - because of its enormous volume, the velocity with which it arrives in the global retail business environment, its veracity to quality related issues, and values it generates for the global supply chain. Many retail products manufacturing companies are trying to find ways to enhance their quality of operational performance while reducing business support costs. They do this primarily by improving defect tracking and better forecasting. These manufacturing and operational improvements along with a favorable customer experience remain crucil to thriving in global competition. In recent years, Big Data and its associated technologies are attracting huge research interest with academics, industry practitioners, and government agencies. Big Data-based software applications are widely used within retail supply chain management - in recommendation, prediction, and decision support systems. The spectacular growth of these software systems has enormous potential for improving the daily performance of retail product and service companies. However, there are increasingly data quality problems resulting in erroneous tesing costs in retail Supply Chain Management (SCM). The heavy investment made in Big Data-based software applications puts increasing pressure on management to justify the quality assurance in these software systems. This chapter discusses about data quality and the dimensions of data quality for Big Data applications. It also examines some of the challenges presented by managing the quality and governance of Big Data, and how those can be balanced with the need of delivery usable Big Data-based software systems. Finally, the chapter highlights the importance of data governance; and it also includes some of the Big Data managerial practice related issues and their justifications for achieving application software quality assurance.
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Konferenzberichte zum Thema "Wine industry Forecasting"

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Elsaraiti, Meftah, Adel Merabet, and Ahmed Al-Durra. "Time Series Analysis and Forecasting of Wind Speed Data." In 2019 IEEE Industry Applications Society Annual Meeting. IEEE, 2019. http://dx.doi.org/10.1109/ias.2019.8912392.

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Liu, Meng, Franklin L. Quilumba, and Wei-Jen Lee. "Dispatch scheduling for a wind farm with hybrid energy storage based on wind and LMP forecasting." In 2014 IEEE Industry Applications Society Annual Meeting. IEEE, 2014. http://dx.doi.org/10.1109/ias.2014.6978378.

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Wu, Yuan-Kang, Po-En Su, and Jing-Shan Hong. "Stratification-based wind power forecasting in a high penetration wind power system using a hybrid model with charged system search algorithm." In 2015 IEEE Industry Applications Society Annual Meeting. IEEE, 2015. http://dx.doi.org/10.1109/ias.2015.7356793.

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Ma, Hui-Meng, Bei Li, and Xiao-Qing Xiu. "Configuration method of energy storage based on short-term wind power forecasting technique." In 2012 2nd International Conference on Applied Robotics for the Power Industry (CARPI 2012). IEEE, 2012. http://dx.doi.org/10.1109/carpi.2012.6356286.

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Hung, Tzu-Chieh, and Kuei-Yuan Chan. "Probability-Based Power Dispatch in Wind-Integrated Electrical Grid for Energy Storage Capacity Determination." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59809.

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Implementing microgrids has become a current trend in the electric utility industry to either improve system reliability or energy access for energy sustainability. This study proposes a probability-based strategy for both long- and short-term power dispatch with wind and load uncertainty. The long-term power dispatch is used to determine a suitable capacity of energy storage, and the short-term power dispatch is used for real-time operation. For both short- and long-term power dispatch, the trends of wind energy and electricity demand are extracted using the wavelet packet analysis method and
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DeLeon, Rey, Kyle Felzien, and Inanc Senocak. "Toward a GPU-Accelerated Immersed Boundary Method for Wind Forecasting Over Complex Terrain." In ASME 2012 Fluids Engineering Division Summer Meeting collocated with the ASME 2012 Heat Transfer Summer Conference and the ASME 2012 10th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/fedsm2012-72145.

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A short-term wind power forecasting capability can be a valuable tool in the renewable energy industry to address load-balancing issues that arise from intermittent wind fields. Although numerical weather prediction models have been used to forecast winds, their applicability to micro-scale atmospheric boundary layer flows and ability to predict wind speeds at turbine hub height with a desired accuracy is not clear. To address this issue, we develop a multi-GPU parallel flow solver to forecast winds over complex terrain at the micro-scale, where computational domain size can range from meters
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Zhang, Chen, Tao Yang, Wei Gao, Weiqiu Chen, Jing He, and Xingwang Yang. "A Spare Parts Demand Prediction Method for Wind Farm Based on Periodic Maintenance Strategy." In ASME 2017 Power Conference Joint With ICOPE-17 collocated with the ASME 2017 11th International Conference on Energy Sustainability, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/power-icope2017-3077.

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Nowadays, the management level and information construction of wind power industry are still relatively backward, for example, the existing maintenance models for wind farm are much too single, and corrective maintenance strategy is the most commonly used, which means that maintenance measures are initiated only after a breakdown occurs in the system. Moreover, the wind farm spare parts management is out-dated, no practical and accurate spares demand assessment method is available. In order to enrich the choices of maintenance methods and eliminate the subjective influence in the demand analys
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Vogt, Brett D., and Raymond “Buddy” E. Belcher. "Deploying Mobile Construction Inspection Forms as a Case Study for Technology Adoption." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64637.

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Within pipeline construction field inspection data collection relies mostly on archaic systems and processes. For almost all projects, paper-based or at best word processor and spreadsheet reports are manually collected, reviewed, aggregated and archived. The effort and error in this typical process is reduced using a mobile inspection form system that simplifies the field data collection workflow, increases data accuracy and quality, and can be used to generate dynamic project management dashboards. An evaluation of two case study projects provides insight to overcoming technology adoption fo
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Kooij, C., A. P. Colling, and C. L. Benson. "When will autonomous ships arrive? A technological forecasting perspective." In 14th International Naval Engineering Conference and Exhibition. IMarEST, 2018. http://dx.doi.org/10.24868/issn.2515-818x.2018.016.

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Autonomous ships have received significant attention in recent years. However, they are not widely adopted in the maritime industry yet. A wide range of predictions have been made about when the technological change will occur. This paper analyses technologies that are critical to autonomous shipping and forecasts a range of times when they will reach technical and economic viability. The researched technologies are data transfer, navigation, cargo handling, fuel cells and diesel engines. The results indicate that the GPS precision required for autonomous mooring is not yet technically feasibl
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Ivanov, Leonid, Rafael Ramos, and Drew Gustafson. "Energetics and Kinematics of Inertial Oscillations in the Central Northern GOM." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31020-ms.

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Abstract Understanding the physics of generation, propagation, and dissipation of inertial currents is important from a variety of aspects. For the Gulf of Mexico, one such aspect is that these oscillations represent an uncertainty in the measurements and forecasting of the longer-period currents, such as those due to the Loop Current (LC) and meso-scale eddies. The Industry has a practice of applying an ‘uplift’ to estimates of current velocity to account for the effect of tidal and inertial currents in cases when observations or model estimates do not resolve the high-frequency current varia
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