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Browsing by Subject "Forecasting"

Now showing items 21-40 of 49

Forecasting exchange rates using recurrent neural networks

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 ...
Forecasting model selection through out-of-sample rolling horizon weighted errors

Poler Escoto, Raúl; Mula, Josefa (Elsevier, 2011-11)

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 ...
Google Trends: analítica de búsquedas al servicio del investigador, del profesional y del curioso

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 ...
Influence of candidate qualities and previous president performance in voting intentions

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 ...
Initialization Methods for Multiple Seasonal Holt-Winters Forecasting Models

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 ...
Integration of photovoltaic generation for industrial consumers connected to distribution systems

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 ...
Mathematical relationships between scoring parameters in capped tendering

Ballesteros Pérez, Pablo; González-Cruz, María-Carmen; Cañavate-Grimal, Antonio (Elsevier, 2012)

[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 ...
Measuring and Forecasting Job-Search in Italy using Machine Learning

Drago, Carlo; Hoxhalli, Gentian (Editorial Universitat Politècnica de València, 2020-07-10)

[EN] The Social Media are becoming more and more important to allow to measure phenomena which are very difficult to measure on a different way. In this sense these data can become relevant indicators which could be used ...
MERLIN: Una nueva herramienta para la predicción del riesgo de inundaciones en la demarcación hidrográfica Galicia-Costa

Fraga, Ignacio; Cea, Luis; Puertas, Jerónimo; Mosqueira, Gonzalo; Quinteiro, Belén; Botana, Sonia; Fernández, Laura; Salsón, Santiago; Fernández-García, Guillermo; Taboada, Juan (Universitat Politècnica de València, 2021-07-27)

[EN] This article presents MERLIN, a tool for flood hazard evaluation, which forecasts discharges and water depths in flood prone areas of the Galicia Costa district. The warning system operates in two stages. During the ...
Modelling and forecasting mortality in Spain

Debón Aucejo, Ana María; Montes, F.; Puig, F (Elsevier, 2008-09)

[EN] Experience shows that static life tables overestimate death probabilities. As a consequence of this overestimation the premiums for annuities, pensions and life insurance are not what they actually should be, with ...
Modelo basado en redes neuronales para la predicción de tráfico en la ciudad de Valencia

Villarroya Sánchez, Cristian (Universitat Politècnica de València, 2021-10-21)

[ES] Existen multitud de modelos que tratan de predecir la velocidad en vías urbanas e interurbanas, la contaminación acústica provocada por el tráfico en ciudades o el flujo de tráfico urbano en base a datos históricos ...
Multiple-criteria cash-management policies with particular liquidity terms

Salas-Molina, Francisco; Pla Santamaría, David; Garcia-Bernabeu, Ana; Mayor-Vitoria, Fernando (Oxford University Press, 2020-04)

[EN] Eliciting policies for cash management systems with multiple assets is by no means straightforward. Both the particular relationship between alternative assets and time delays from control decisions to availability ...
New artificial neural network prediction method for electrical consumption forecasting based on building end-uses

Escrivá-Escrivá, Guillermo; Álvarez Bel, Carlos María; Roldán Blay, Carlos; Alcázar-Ortega, Manuel (Elsevier, 2011-11)

Due to the current high energy prices it is essential to find ways to take advantage of new energy resources and enable consumers to better understand their load curve. This understanding will help to improve customer ...
Nonlinear prediction based on independent component analysis mixture modelling

Safont Armero, Gonzalo; Salazar Afanador, Addisson; Vergara Domínguez, Luís (Springer Verlag (Germany), 2011)

[EN] This paper presents a new algorithm for nonlinear prediction based on independent component analysis mixture modelling (ICAMM). The data are considered from several mutually-exclusive classes which are generated by ...
PATTERN RECOGNITION APPLIED TO CHART ANALYSIS. EVIDENCE FROM INTRADAY INTERNATIONAL STOCK MARKETS

MICHNIUK, KAROLINA (Universitat Politècnica de València, 2017-03-20)

Technical analysis as a sophisticated form of forecasting technique has a varying popularity in the academic and business world. In the past, users were sceptical about technical trading rules and their performance. This ...
Predicción del precio de la vivienda mediante redes neuronales artificiales en la ciudad de Madrid

Martínez Barbero, Xavier (Universitat Politècnica de València, 2019-09-09)

[ES] La mayor información disponible en el mercado inmobiliario y el avance de las técnicas de inteligencia artificial permiten desarrollar modelos de valoración de bienes de naturaleza inmobiliaria. Este trabajo desarrolla ...
Predicción en tiempo real de futuras transacciones en establecimientos

Grau Dalmau, Sergi (Universitat Politècnica de València, 2019-10-28)

[ES] Como bien sabemos, en muchos establecimientos sus ventas en el último día de la semana o en cualquier de ellos, están altamente relacionadas con las ya producidas en los anteriores días. Actualmente estas relaciones ...
Previsión de la demanda de electricidad mediante redes neuronales artificiales. Aplicación al mercado eléctrico español.

Bala Mohamed-Salem, Abdelmajid (Universitat Politècnica de València, 2021-10-06)

[ES] El objetivo del TFM es diseñar y construir un sistema que sea capaz de hacer previsiones de la demanda de energía eléctrica en España. El sistema propuesto pretende ser una herramienta útil para reducir la incertidumbre ...
Pronóstico del volumen de producción de una empresa de fabricación utilizando métodos de análisis de series temporales

Pérez Trenco, Javier (Universitat Politècnica de València, 2020-05-11)

[ES] El objetivo de este trabajo es probar distintos métodos de análisis de series temporales para pronosticar el volumen de producción de diferentes productos de una empresa de fabricación. Actualmente, la empresa se basa ...
Quantitative analysis of technology futures: A review of techniques, uses and characteristics

Ciarli, Tommaso; Coad, Alex; Rafols García, Ismael (Oxford University Press, 2016)

[EN] A variety of quantitative techniques have been used in the past in future-oriented technology analysis (FTA). In recent years, increased computational power and data availability have led to the emergence of new ...