Results 21 to 30 of about 45,327 (265)

A Combination Prediction Model of Stock Composite Index Based on Artificial Intelligent Methods and Multi-Agent Simulation [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2014
Predicting stock composite index is useful, which can raise the interest of both the investors and the corresponding researchers. This paper presented a new combination prediction model based on the technique of artificial intelligence and the principle ...
Yongli Li   +3 more
doaj   +1 more source

Developing and Comparing Different Strategies for Combining Probabilistic Photovoltaic Power Forecasts in an Ensemble Method

open access: yesEnergies, 2019
Accurate probabilistic forecasts of renewable generation are drivers for operational and management excellence in modern power systems and for the sustainable integration of green energy.
Antonio Bracale   +2 more
doaj   +1 more source

To Combine Forecasts or to Combine Information? [PDF]

open access: yesEconometric Reviews, 2010
When the objective is to forecast a variable of interest but with many explanatory variables available, one could possibly improve the forecast by carefully integrating them. There are generally two directions one could proceed: combination of forecasts (CF) or combination of information (CI).
Huiyu Huang, Tae-Hwy Lee
openaire   +2 more sources

Short-Term Electricity Price Forecasting with a Composite Fundamental-Econometric Hybrid Methodology

open access: yesEnergies, 2019
Various power exchanges are nowadays being affected by a plethora of factors that, as a whole, cause considerable instabilities in the system. As a result, traders and practitioners must constantly adapt their strategies and look for support for their ...
Rodrigo A. de Marcos   +2 more
doaj   +1 more source

Combining inflation density forecasts [PDF]

open access: yesJournal of Forecasting, 2010
AbstractIn this paper, we empirically evaluate competing approaches for combining inflation density forecasts in terms of Kullback–Leibler divergence. In particular, we apply a similar suite of models to four different datasets and aim at identifying combination methods that perform well throughout different series and variations of the model suite. We
Kascha, Christian, Ravazzolo, Francesco
openaire   +4 more sources

Smartmet nowcast – Rapidly updating nowcasting system at Finnish Meteorological Institute

open access: yesMeteorologische Zeitschrift, 2021
Rapidly updating nowcasting system, Smartmet nowcast, has been developed at Finnish Meteorological Institute (FMI) to operationally produce accurate and timely short range forecasts and a detailed description of the present weather to the end-users.
Leila Hieta   +7 more
doaj   +1 more source

Optimal combination of survey forecasts [PDF]

open access: yesInternational Journal of Forecasting, 2015
We consider the problem of combining individual forecasts of real gross domestic product (GDP) growth and Harmonized Index of Consumer Prices (HICP) inflation from the Survey of Professional Forecasters (SPF) for the Euro area. Contrary to the common practice of using equal combination weights, we compute weights which are optimal in the sense that ...
Conflitti, Cristina   +2 more
openaire   +4 more sources

Research on Agricultural Product Price Prediction Based on Improved PSO-GA

open access: yesApplied Sciences
The accurate prediction of scallion prices can not only optimize supply chain management and help related practitioners and consumers to make more reasonable purchasing decisions, but also provide guidance for farmers’ planting choices, thus enhancing ...
Yunhong Li   +5 more
doaj   +1 more source

Bayesian Calibration of Generalized Pools of Predictive Distributions

open access: yesEconometrics, 2016
Decision-makers often consult different experts to build reliable forecasts on variables of interest. Combining more opinions and calibrating them to maximize the forecast accuracy is consequently a crucial issue in several economic problems.
Roberto Casarin   +2 more
doaj   +1 more source

Building the Oolong Tea Grade Judgement Model Based on Interior Quality Parameters

open access: yesShipin gongye ke-ji, 2023
Tea grade evaluation is an important technical method to test the quality of tea, and scientifically building the tea grade evaluation model has an important significance.
Cuiling LIU   +7 more
doaj   +1 more source

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