Feature Papers of Forecasting
Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted...
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Format | eBook |
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Language | English |
Published |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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Subjects | |
Online Access | Get full text |
ISBN | 9783036510309 3036510311 9783036510316 3036510303 |
DOI | 10.3390/books978-3-0365-1031-6 |
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Abstract | Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented. |
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AbstractList | Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented. |
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SubjectTerms | (REG) ARIMA baseline prediction Bates–Granger weights behind-the-meter PV bias correction bus service bus travel time business to business sales prediction cost estimating costumer relation management COVID-19 deep learning Direct Normal Irradiance (DNI) DNI attenuation Index (DAI) ETS evaluation forecast forecasting Google Trends indices Himalayan region Hodrick–Prescott trend IFS/ECMWF intermittent rivers learning curve logistic map machine learning meteorological radar data microsoft azure machine-learning service n/a nowcast optical flow persistence predictive modeling production cost PV output power estimation PV-load decoupling Reference, Information and Interdisciplinary subjects Research and information: general SARS-CoV-2 semi-empirical model snow-fed rivers streamflow forecast verification sustainable urban mobility plan time series transit systems travel time forecasting uniform weights |
Title | Feature Papers of Forecasting |
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