Results 21 to 30 of about 417,068 (301)
Composite and Outlook Forecast Accuracy
Journal of Agricultural and Resource Economics, 2012 This paper investigates whether the accuracy of outlook hog price forecasts can be improved using composite forecasts in an out-of-sample context. Price forecasts from four widely-recognized outlook programs are combined with futures-based forecasts ...
Evelyn V. Colino +3 more
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Sensitivity of Weights in Combining Forecasts [PDF]
Operations Research, 1992 In the combination of forecasts, weighted averages that attempt to take into account the accuracy of the forecasts and any dependence among forecasts tend to perform poorly in practice. An important factor influencing this performance is the sensitivity, or instability, of the estimated weights used to generate the combined forecast.
Robert L. Winkler, Robert T. Clemen
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A linkage among whole-stand model, individual-tree model and diameter-distribution model
Journal of Forest Science, 2010 Stand growth and yield models include whole-stand models, individual-tree models and diameter-distribution models. In this study, the three models were linked by forecast combination and parameter recovery methods one after another.
X. Zhang, Y. Lei
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Energies, 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
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Study on Operational Performance Forecast of 10 Asian Hub Airports
Hangkong gongcheng jinzhan, 2021 Improving future airport operational performance is the key to airport sustainable development,and its accurate forecast is the basis for improving the airport operational performance.Considering the impact of emergency events,the quantitative forecast ...
WANG Zhanwei, ZHAO Mingming, LI Huaxing
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Short-Term Electricity Price Forecasting with a Composite Fundamental-Econometric Hybrid Methodology
Energies, 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
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Interval Grey Prediction Models with Forecast Combination for Energy Demand Forecasting
Mathematics, 2020 Time series data for decision problems such as energy demand forecasting are often derived from uncertain assessments, and do not meet any statistical assumptions.
Peng Jiang +4 more
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A Combination Prediction Model of Stock Composite Index Based on Artificial Intelligent Methods and Multi-Agent Simulation [PDF]
International 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
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Day Ahead Hourly Global Horizontal Irradiance Forecasting—Application to South African Data
Energies, 2019 Due to its variability, solar power generation poses challenges to grid energy management. In order to ensure an economic operation of a national grid, including its stability, it is important to have accurate forecasts of solar power.
Phathutshedzo Mpfumali +3 more
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Combining inflation density forecasts [PDF]
Journal 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
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