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Forecasting and forecast-combining of quarterly earnings-per-share via genetic programming
(Universidad de Chile. Facultad de Economía y Negocios, 2008)
In this study we examine different methodologies to estimate
earnings. More specifically, we evaluate the viability of Genetic
Programming as both a forecasting model estimator and a forecastcombining
methodology. When ...
Reconfiguration and reinforcement allocation as applied to hourly medium-term load forecasting of distribution feeders
(Institution of Engineering and Technology, 2020)
In this study, a methodology to develop hourly demand scenarios in a medium-term horizon for primary distribution substations is presented and applied to a case study. The main contribution of this study is that it addresses ...
SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression
(Elsevier, 2020)
n this paper, we propose a novel support vector regression (SVR) approach for time series analysis. An efficient forward feature selection strategy has been designed for dealing with high-frequency time series with multiple ...
A time-series forecasting performance comparison for neural networks with state space and ARIMA models
(IEOM Society InternationalUnited States, 2020)
Demand analysis and capacity management for hospital emergencies using advanced forecasting models and stochastic simulation
(Elsevier, 2021)
Demand forecasting and capacity management are complicated tasks for emergency healthcare services due to
the uncertainty, complex relationships, and high public exposure involved. Published research does not show
integrated ...
Non stationary demand forecasting based on empirical mode decomposition and support vector machines
(IEEE, 2017)
A company performance strongly depends on its ability of delivering the right quantity of of a given product at the time customers require. Even though some demand forecasting techniques have been developed, they have ...
Two-stage robust UC including a novel scenario-based uncertainty model for wind power applications
(Elsevier, 2015)
The complex processes involved in the determination of the availability of power from renewable energy sources, such as wind power, impose great challenges in the forecasting processes carried out by transmission system ...
Adjustment of discrete load changes in feeder databases for improving medium-term demand forecasting
(Institution of Engineering and Technology, 2017)
A discrete load change (DLC) event may be described as an abrupt change in feeder demand. These events are due to network reconfigurations, or the connection/disconnection of large consumers to the grid. This phenomenon ...
Relative effects of statistical preprocessing and postprocessing on a regional hydrological ensemble prediction system
(European Geosciences Union, 2018)
The relative roles of statistical weather preprocessing and streamflow postprocessing in hydrological ensemble forecasting at short-to medium-range forecast lead times (day 1-7) are investigated. For this purpose, a regional ...
Revisión de técnicas de análisis de decisión multicriterio (múltiple criteria decisión analysis –MCDA) como soporte a problemas complejos: pronósticos de demanda
(Universidad de San Buenaventura - CaliDocumento USBDocumentos USBCali, 2009-07)
El artículo presenta una revisión de la literatura orientada a las técnicas de análisis multicriterio como soporte para toma de decisiones empresariales orientadas a los empresarios PyME, por ser de interés para el proyecto ...