Results 11 to 20 of about 45,327 (265)
Forecast combinations for intermittent demand [PDF]
Journal of the Operational Research Society, 2015 Intermittent demand is characterised by infrequent demand arrivals, where many periods have zero demand, coupled with varied demand sizes. The dual source of variation renders forecasting for intermittent demand a very challenging task. Many researchers have focused on the development of specialised methods for intermittent demand.
Fotios Petropoulos, Nikolaos Kourentzes
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Model Hybrid for Sales Forecast for the Housing Market of São Paulo
Real Estate Management and Valuation, 2020 This research proposes a combined model of time series for forecasting housing sales in the city of São Paulo. We used data referring to the time series of sales of residential units provided by SECOVI-SP.
Moro Matheus Fernando +2 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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Forecasting, 2021 The present study employs daily data made available by the STR SHARE Center covering the period from 1 January 2010 to 31 January 2020 for six Viennese hotel classes and their total. The forecast variable of interest is hotel room demand.
Ulrich Gunter
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Forecast Combination under Heavy-Tailed Errors
Econometrics, 2015 Forecast combination has been proven to be a very important technique to obtain accurate predictions for various applications in economics, finance, marketing and many other areas.
Gang Cheng, Sicong Wang, Yuhong Yang
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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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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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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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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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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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