[EN] In this paper, we describe a new trend analysis and forecasting method (Deflexor), which is
intended to help inform decisions in almost any field of human social activity, including, for example,
business, art and ...
Avesani, Federico(Universitat Politècnica de València, 2019-06-21)
[EN] The present work aims to develop a prediction system for the future hydrological conditions of the river Júcar. The HBV model and 7 month-lead daily weather forecasts (precipitation and temperature) provided by the ...
Alvarado Gozaine, Willman José(Universitat Politècnica de València, 2022-11-02)
[ES] La necesidad de mejorar las previsiones de demanda eléctrica es fundamental para una correcta gestión de la producción energética. En este trabajo se desarrollan métodos de trabajo basados en inteligencia artificial ...
Debón Aucejo, Ana María; Haberman, Steven; Montes Suay, Francisco; Otranto, Edoardo(MDPI AG, 2021-02-23)
[EN] The parametric model introduced by Lee and Carter in 1992 for modeling mortality rates in the USA was a seminal development in forecasting life expectancies and has been widely used since then. Different extensions ...
Morer, Fidae el(Universitat Politècnica de València, 2021-01-15)
[ES] El presente trabajo consiste en la elaboración de una metodología para el análisis de una serie temporal de caudal de agua potable en un sector hidráulico de tipo domiciliario de una ciudad de la provincia de Valencia ...
[EN] The forecast of electricity consumption plays a fundamental role in the environmental impact of a tourist destination. Poor forecasting, under certain circumstances, can lead to huge economic losses and air pollution, ...
Salas-Molina, Francisco; Rodriguez-Aguilar, Juan A.; Serrà,Joan; Guillen, Montserrat; Martin, Francisco J.(Institut d'Estadística de Catalunya (Idescat), 2018-01)
[EN]
Usual assumptions on the statistical properties of daily net cash flows include normality, absence of correlation and stationarity. We provide a comprehensive study based on a real-world cash flow data set showing ...
Trapero, Juan R.; Cardós, Manuel; Kourentzes, Nikolaos(Elsevier, 2019-04)
[EN] Supply chain risk management has drawn the attention of practitioners and academics alike. One source of risk is demand uncertainty. Demand forecasting and safety stock levels are employed to address this risk. Most ...
[EN] The number of new bidders ¿ bidders from whom there is no previous registered participation ¿ is an important variable in most bid tender forecasting models, since the unknown competitive profile of the former strongly ...
Bas Cerdá, María del Carmen; Ortiz Moragón, Josefina; Ballesteros Pascual, Luisa; Martorell Alsina, Sebastián Salvador(Elsevier, 2017-06-01)
[EN] Forecasting the 7Be air concentration is a target value in analyzing fluctuations that could reveal important information on the motions of atmospheric air masses. In this study we first propose a Seasonal Autoregressive ...
Bas Cerdá, María del Carmen; Ortiz Moragón, Josefina; Ballesteros Pascual, Luisa; Martorell Alsina, Sebastián Salvador(Elsevier, 2017-02-14)
[EN] 7Be is a cosmogenic radionuclide widely used as an atmospheric tracer, whose evaluation and forecasting can provide valuable information on changes in the atmospheric behavior. In this study, measurements of 7Be ...
Cuéllar Abril, Juan Julián(Universitat Politècnica de València, 2020-09-18)
[EN] FOREX is a market in which large amounts of resources are invested in order to predict changes in currency pairs as accurately as possible. In this market, machine learning is also having a great impact and numerous ...
Demand forecasting is an essential process for any firm whether it is a supplier, manufacturer or retailer. A large number of research works about time series forecast techniques exists in the literature, and there are ...
[EN] We develop a unifying framework to investigate the effects of firms' internet presence on productivity and market structure. Using information on website adoption as an indicator of online trading, we treat the decision ...
Orduña-Malea, Enrique(Ediciones Profesionales de la Informacion SL, 2019)
[ES] Google Trends se actualizó en mayo de 2018 incorporando importantes novedades, como un rediseño de la sección de tendencias de búsqueda, mejoras en la visualización de datos, así como la inclusión de Stories, piezas ...
Ribes-Giner, Gabriela; Fuentes Blasco, María(Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2014)
This article aims to measure empirically the influence of the main variables affecting the voting intention
of the electorate, taking as reference the polls result obtained in the previous months of the 2008 American
General ...
Trull, Oscar; García-Díaz, J. Carlos; Troncoso, Alicia(MDPI AG, 2020-02)
[EN] The Holt-Winters models are one of the most popular forecasting algorithms. As well-known, these models are recursive and thus, an initialization value is needed to feed the model, being that a proper initialization ...
Toledo, Marco A.; Álvarez, Carlos; Pachar, J. X.; Quishpi, W.A.; Quizhpi, Flavio A.(IEEE, 2020-11-06)
[EN] Technological advances in solar photovoltaic generation have considerably reduced equipment costs in new facilities, which is why this research focuses on determining the generation capacity through the use of existing ...
Matossian, Robin(Universitat Politècnica de València, 2022-10-20)
[ES] Las economías de hoy forman un núcleo complejo de relaciones económicas y sociales. Por lo tanto, la aplicación de las Políticas Fiscal y Monetaria implica incertidumbre debido a la naturaleza dinámica de las economías ...
[EN] Mathematical relationships between Scoring Parameters can be used in Economic Scoring Formulas (ESF) in tendering to distribute the score among bidders in the economic part of a proposal.Each contracting authority ...