Literatura académica sobre el tema "Forecasting"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Forecasting".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Forecasting"
Суворов, Anatoliy Suvorov, Ивантер, Viktor Ivantyer, Сутягин y Valyeriy Sutyagin. "The Main Objectives and Principles of Socio-Economic Forecasting". Administration 3, n.º 1 (17 de marzo de 2015): 8–17. http://dx.doi.org/10.12737/8785.
Texto completoZheng, Xiao Xia y Fu Yang. "Research of Wind Speed and Wind Power Forecasting". Advanced Materials Research 347-353 (octubre de 2011): 611–14. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.611.
Texto completoRodrigues, Aaron. "Food Sales Forecasting Using Machine Learning Techniques: A Survey". International Journal for Research in Applied Science and Engineering Technology 9, n.º 9 (30 de septiembre de 2021): 869–72. http://dx.doi.org/10.22214/ijraset.2021.38069.
Texto completoReddy, Dr T. Koti. "Exchange Rate Forecasting". Indian Journal of Applied Research 1, n.º 6 (1 de octubre de 2011): 120–24. http://dx.doi.org/10.15373/2249555x/mar2012/41.
Texto completoRathnayaka, R. M. Kapila Tharanga, D. M. K. N. Seneviratna y Wei Jianguo. "Grey system based novel approach for stock market forecasting". Grey Systems: Theory and Application 5, n.º 2 (3 de agosto de 2015): 178–93. http://dx.doi.org/10.1108/gs-04-2015-0014.
Texto completoBAŞER, Uğur, Mehmet BOZOĞLU, Nevra ALHAS EROĞLU y Bakiye KILIÇ TOPUZ. "Forecasting Chestnut Production and Export of Turkey Using ARIMA Model". Turkish Journal of Forecasting 02, n.º 2 (31 de diciembre de 2018): 27–33. http://dx.doi.org/10.34110/forecasting.482789.
Texto completoArabi Belaghi, Reza, Minoo Aminnejad y Özlem Gürünlü Alma. "Stock Market Prediction Using Nonparametric Fuzzy and Parametric GARCH Methods". Turkish Journal of Forecasting 02, n.º 1 (1 de septiembre de 2018): 1–8. http://dx.doi.org/10.34110/forecasting.420126.
Texto completoZewdie, Mulugeta Aklilu, Gebretsadik G. Wubit y Amare W. Ayele. "G-STAR Model for Forecasting Space-Time Variation of Temperature in Northern Ethiopia". Turkish Journal of Forecasting 02, n.º 1 (1 de septiembre de 2018): 9–19. http://dx.doi.org/10.34110/forecasting.437599.
Texto completoKılıç Topuz, Bakiye, Mehmet Bozoğlu, Uğur Başer y Nevra Alhas Eroğlu. "Forecasting of Apricot Production of Turkey by Using Box-Jenkins Method". Turkish Journal of Forecasting 02, n.º 2 (31 de diciembre de 2018): 20–26. http://dx.doi.org/10.34110/forecasting.482914.
Texto completoMACİT, İrfan. "Estimating Risk Pressure Factor (RPF) with Artificial Neural Network (ANN) to Locate Search and Rescue (SAR) Team Station." Turkish Journal of Forecasting 03, n.º 1 (31 de agosto de 2019): 26–38. http://dx.doi.org/10.34110/forecasting.484765.
Texto completoTesis sobre el tema "Forecasting"
Warren, Steven W. MATHEMATICAL MODELS WEATHER FORECASTING WEATHER PREDICTIONS MODELS REDUCTION PHYSICS OCEANOGRAPHY POWER REGRESSION ANALYSIS NAVY COMPARISON FORECASTING THESES. "Ensemble forecasting techniques in medium-range forecasting /". Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA267443.
Texto completoThesis advisor(s): Wendell A. Nuss. "March 1993." Page 66 is missing (which includes Fig. 21 a-b). Bibliography: p. 109. Also available online.
Warren, Steven W. "Ensemble forecasting techniques in medium-range forecasting". Thesis, Monterey, California. Naval Postgraduate School, 1993. http://hdl.handle.net/10945/39902.
Texto completoA continuing trend in numerical weather prediction (NWP) is the desire for reduced model forecast error. Developments in NWP such as advanced computing power and improved model physics and analysis methods have been successful in lowering error but are potentially limited The regression method of ensemble forecasting is used to further reduce mean forecast error when compared to individual model forecast performances. A statistical regression scheme is utilized to achieve an optimum combination fitting of the National Meteorological Center, the European Centre for Medium-Range Weather Forecasts, and the U.S. Navy Fleet Numerical Oceanography Center forecast models. The performance of the regression model is evaluated for 72-h and 108-h prediction cycles through statistical and subjective comparisons with the individual models and an equally weighted ensemble model at the surface and at 500 hPa. The regression model is shown to produce gains through the reduction of systematic error present in the individual model forecasts...
Abdullah, Rozi. "Rainfall forecasting algorithms for real time flood forecasting". Thesis, University of Newcastle Upon Tyne, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296151.
Texto completoRasmussen, Steven R. "Forecasting 5" /". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA304364.
Texto completoJessen, Andreas y Carina Kellner. "Forecasting Management". Thesis, University of Kalmar, Baltic Business School, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-1868.
Texto completoIn a world that is moving faster and faster, a company’s ability to align to market changes is becoming a major competitive factor. Forecasting enables companies to predict what lies ahead, e.g. trend shifts or market turns, and makes it possible to plan for it. But looking into the future is never an easy task.
“Prediction is very difficult, especially if it’s about the future.” (Niels Bohr, 1885-1962)
However, progress in the field of forecasting has shown that it is possible for companies to improve on forecasting practices. This master thesis looks at the sales forecasting practices in MNCs primarily operating in emerging and developing countries. We examine the whole process of sales forecasting, also known as forecasting management, in order to develop a comprehensive model for forecasting in this type of companies. The research is based on a single case study, which is then later generalized into broader conclusions.
The conclusion of this master thesis is that forecasting is a four-step exercise. The four stages we have identified are: Knowledge creation, knowledge transformation, knowledge use and feedback. In the course of these four stages a company’s sales forecast is developed, changed and used. By understanding how each stage works and what to focus on, companies will be able to improve their forecasting practices.
Minkah, Richard. "Forecasting volatility". Thesis, Uppsala University, Department of Mathematics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-121079.
Texto completoMayr, Johannes. "Forecasting Macroeconomic Aggregates". Diss., lmu, 2010. http://nbn-resolving.de/urn:nbn:de:bvb:19-111404.
Texto completoNoble, Christopher J. "Forecasting vortex filaments". Thesis, University of Canterbury. Physics, 1998. http://hdl.handle.net/10092/8165.
Texto completoCHRISTO, ELIANE DA SILVA. "REACTIVE POWER FORECASTING". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7622@1.
Texto completoNo novo modelo do Setor Elétrico é essencial desenvolver novas técnicas que estimem valores futuros, a curto e longo-prazos, das potências ativa e reativa. Com base nisso, este trabalho tem por objetivo apresentar uma nova técnica de previsão horária de potência reativa a curto-prazo, por subestação, baseada na linearidade existente entre as potências ativa e reativa. O modelo proposto, denominado de Modelo Híbrido de Previsão de Reativo, é dividido em duas etapas: A primeira etapa é feita uma classificação dos dados através de uma rede neural não supervisionada Mapas Auto-Organizáveis de Kohonen (SOM); A segunda etapa, utiliza-se um modelo de defasagem distribuída auto-regressivo (ADL) com estimação de Mínimos Quadrados Reponderados Iterativamente (IRLS) acoplado a uma correção para autocorrelação serial dos resíduos - Método Iterativo de Cochrane-Orcutt. Este Modelo Híbrido tem como variável dependente a potência reativa, e como variáveis explicativas dados horários de potência ativa e reativa no instante atual e defasadas no tempo. A previsão de potência reativa a curto-prazo é dividida em in sample e em out of sample. A previsão out of sample é aplicada a períodos horários em até um mês à frente. O modelo proposto é aplicado aos dados de uma concessionária específica de Energia Elétrica e os resultados são comparados a um modelo de Regressão Dinâmica convencional e a um modelo de Redes Neurais Artificiais Feedforward de Múltiplas camadas (MLP) com um algoritmo de retropropagação do erro.
The forecasting of reactive and active power is an important tool in the monitoring of an Electrical Energy System. The main purpose of the present work is the development of a new short-term reactive power hourly forecast technique, which can be used at utility or substations levels. The proposed model, named A Hybrid Model for Reactive Forecasting, is divided in two stages. In the first stage, the active and reactive power data are classified by an unsupervised neural network - the Self-Organized Maps of Kohonen (SOM). In the second stage, a Autoregressive Distributed Lags Model (ADL) is used with its parameters estimated by an Iteratively Reweighted Least Square (IRLS). It also includes a correction lag structure for serial autocorrelation of the residuals as used in the Cochrane-Orcutt formulation. The short term reactive power forecasting is divided in in sample and out of sample. The out of sample forecast is applied to hourly periods until one month ahead. The proposed model is applied to real data of one substation and the results are compared with two other approaches, a conventional Dynamic Regression and a Feedforward Multi-layer Perceptron (MLP) Artificial Neural Network model.
Binter, Roman. "Applied probabilistic forecasting". Thesis, London School of Economics and Political Science (University of London), 2012. http://etheses.lse.ac.uk/559/.
Texto completoLibros sobre el tema "Forecasting"
McAuliffe, Bill. Forecasting. Mankato, MN: Creative Education, 2010.
Buscar texto completoFildes, Robert y P. Allen. Forecasting. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2011. http://dx.doi.org/10.4135/9781446261668.
Texto completoHirschmann, Kris. Forecasting! Edina, MN: ABDO Pub., 2008.
Buscar texto completoAllen, P. Geoffrey y Robert Fildes. Forecasting. Los Angeles, Calif: SAGE, 2011.
Buscar texto completoNational Research Council (U.S.). Transportation Research Board. Transportation Data, Economics, and Forecasting Section. y National Research Council (U.S.). Transportation Research Board. Meeting, eds. Forecasting. Washington, D.C: Transportation Research Board, National Research Council, 1989.
Buscar texto completoD, Lawrence Kenneth, Geurts Michael y Guerard John B, eds. Forecasting. Greenwich, Conn: JAI Press, 1998.
Buscar texto completoLatham, Donna. Weather forecasting. Glenview, Ill: Pearson/Scott Foresman, 2010.
Buscar texto completoCentre, Nottingham Fashion. Trend forecasting. Nottingham: Nottingham Fashion Centre, 1999.
Buscar texto completoMolnar, Alan T. Economic forecasting. New York: Nova Science Publishers, 2010.
Buscar texto completoCarnot, Nicolas, Vincent Koen y Bruno Tissot. Economic Forecasting. London: Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230005815.
Texto completoCapítulos de libros sobre el tema "Forecasting"
Khan, Arshad. "Forecasting". En Jumpstart Tableau, 331–36. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1934-8_36.
Texto completoBronzite, Michael. "Forecasting". En System Development, 83–99. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0469-8_6.
Texto completoChristou, Ioannis T. "Forecasting". En Quantitative Methods in Supply Chain Management, 139–202. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-766-2_2.
Texto completoLeininger, Arndt. "Forecasting". En Handbuch Methoden der Politikwissenschaft, 651–69. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-16936-7_36.
Texto completoLeininger, Arndt. "Forecasting". En Handbuch Organisationssoziologie, 1–20. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-16937-4_36-1.
Texto completoLeininger, Arndt. "Forecasting". En Handbuch Organisationssoziologie, 1–20. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-16937-4_36-2.
Texto completoThomopoulos, Nick T. "Forecasting". En Elements of Manufacturing, Distribution and Logistics, 1–27. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26862-0_1.
Texto completoRunkler, Thomas A. "Forecasting". En Data Analytics, 79–83. Wiesbaden: Vieweg+Teubner Verlag, 2012. http://dx.doi.org/10.1007/978-3-8348-2589-6_7.
Texto completoSwift, Louise. "Forecasting". En Mathematics and Statistics for Business, Management and Finance, 864–904. London: Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-25273-2_19.
Texto completoDe Gooijer, Jan G. "Forecasting". En Elements of Nonlinear Time Series Analysis and Forecasting, 391–437. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43252-6_10.
Texto completoActas de conferencias sobre el tema "Forecasting"
Shetty, Sachin, Valentina Gori, Gianni Bagni y Giacomo Veneri. "Sensor Virtualization for Anomaly Detection of Turbo-Machinery Sensors—An Industrial Application". En International Conference on Time Series and Forecasting. Basel Switzerland: MDPI, 2023. http://dx.doi.org/10.3390/engproc2023039096.
Texto completoLanzilotta, Bibiana, Gabriela Mordecki, Pablo Tapie y Joaquín Torres. "Uncertainty and Business Cycle: An Empirical Analysis for Uruguay". En International Conference on Time Series and Forecasting. Basel Switzerland: MDPI, 2023. http://dx.doi.org/10.3390/engproc2023039097.
Texto completoTabib, Mandar, Kristoffer Skare, Endre Bruaset y Adil Rasheed. "Data-Driven Spatio-Temporal Modelling and Optimal Sensor Placement for a Digital Twin Set-Up". En International Conference on Time Series and Forecasting. Basel Switzerland: MDPI, 2023. http://dx.doi.org/10.3390/engproc2023039098.
Texto completoOladeji, Jonathan D., Benita G. Zulch y Joseph A. Yacim. "Predictive Accuracy of Logit Regression for Data-Scarce Developing Markets: A Nigeria and South Africa Study". En International Conference on Time Series and Forecasting. Basel Switzerland: MDPI, 2023. http://dx.doi.org/10.3390/engproc2023039100.
Texto completoMononen, Asko, Ari Alamäki, Janne Kauttonen, Aarne Klemetti, Anu Passi-Rauste y Harri Ketamo. "Forecasted Self: AI-Based Careerbot-Service Helping Students with Job Market Dynamics". En International Conference on Time Series and Forecasting. Basel Switzerland: MDPI, 2023. http://dx.doi.org/10.3390/engproc2023039099.
Texto completoValenzuela, Olga, Fernando Rojas, Luis Javier Herrera, Hector Pomares y Ignacio Rojas. "New Developments in Time Series and Forecasting, ITISE-2023". En International Conference on Time Series and Forecasting. Basel Switzerland: MDPI, 2023. http://dx.doi.org/10.3390/engproc2023039101.
Texto completoEdwards, Samuel J., Matthew D. Collette y Armin W. Troesch. "Extreme Characteristics of a Stochastic Non-Stationary Duffing Oscillator". En International Conference on Time Series and Forecasting. Basel Switzerland: MDPI, 2023. http://dx.doi.org/10.3390/engproc2023039102.
Texto completoAlander, Juha, Lauri Honkasilta y Kalle Saastamoinen. "Simulating the Aerial Ballet: The Dance of Fire-Fighting Planes and Helicopters". En International conference on Time Series and Forecasting. Basel Switzerland: MDPI, 2024. http://dx.doi.org/10.3390/engproc2024068054.
Texto completoAhmad, Farooq, Livio Finos y Mariangela Guidolin. "Modeling the Future of Hydroelectric Power: A Cross-Country Study". En International conference on Time Series and Forecasting. Basel Switzerland: MDPI, 2024. http://dx.doi.org/10.3390/engproc2024068056.
Texto completoMontante, Carmin y Clemente Hernandez-Rodriguez. "Evaluation of Economic Interventions in Economic Blocks during an Economic and Sanitary Crisis". En International conference on Time Series and Forecasting. Basel Switzerland: MDPI, 2024. http://dx.doi.org/10.3390/engproc2024068055.
Texto completoInformes sobre el tema "Forecasting"
Cook, Steve. Directional Forecasting, Forecasting Accuracy and Making Profits. Bristol, UK: The Economics Network, septiembre de 2014. http://dx.doi.org/10.53593/n2703a.
Texto completoStock, James y Mark Watson. Forecasting Inflation. Cambridge, MA: National Bureau of Economic Research, marzo de 1999. http://dx.doi.org/10.3386/w7023.
Texto completoXiong, Yingge, Jon Fricker y Kevin McNamara. Socioeconomic Forecasting. Purdue University, diciembre de 2012. http://dx.doi.org/10.5703/1288284314664.
Texto completoRosenzweig, Mark y Christopher Udry. Forecasting Profitability. Cambridge, MA: National Bureau of Economic Research, agosto de 2013. http://dx.doi.org/10.3386/w19334.
Texto completoHyman, Ellis, Roger Shi, Mark Czarnaski y Sethu Raman. Atmospheric Forecasting. Fort Belvoir, VA: Defense Technical Information Center, octubre de 2000. http://dx.doi.org/10.21236/ada384012.
Texto completoAndersen, Torben, Tim Bollerslev, Peter Christoffersen y Francis Diebold. Volatility Forecasting. Cambridge, MA: National Bureau of Economic Research, marzo de 2005. http://dx.doi.org/10.3386/w11188.
Texto completoSchwarz, Kurt F., IV Brooks y Thomas L. Forecasting Contracting Workload. Fort Belvoir, VA: Defense Technical Information Center, abril de 1989. http://dx.doi.org/10.21236/ada211935.
Texto completoBaluga, Anthony y Masato Nakane. Maldives Macroeconomic Forecasting:. Asian Development Bank, diciembre de 2020. http://dx.doi.org/10.22617/wps200431-2.
Texto completoRoberts, Benedict C. Multiple Forecasting Techniques. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 1990. http://dx.doi.org/10.21236/ada230600.
Texto completoGaregnani, Lorena y Maximiliano Gómez Aguirre. Forecasting Inflation in Argentina. Inter-American Development Bank, junio de 2018. http://dx.doi.org/10.18235/0001160.
Texto completo