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...
Wedi'i Gadw mewn:
| Fformat: | Online |
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| Iaith: | Saesneg |
| Cyhoeddwyd: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Pynciau: | |
| Mynediad Ar-lein: | ONIX_20220111_9783036510309_401 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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| _version_ | 1863739078479970304 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-76666 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-766662024-03-27T16:34:36Z Feature Papers of Forecasting Leva, Sonia Direct Normal Irradiance (DNI) IFS/ECMWF forecast evaluation DNI attenuation Index (DAI) bias correction nowcast meteorological radar data optical flow deep learning Bates–Granger weights uniform weights (REG) ARIMA ETS Hodrick–Prescott trend Google Trends indices Himalayan region streamflow forecast verification persistence snow-fed rivers intermittent rivers costumer relation management business to business sales prediction machine learning predictive modeling microsoft azure machine-learning service travel time forecasting time series bus service transit systems sustainable urban mobility plan bus travel time learning curve forecasting production cost cost estimating semi-empirical model logistic map COVID-19 SARS-CoV-2 PV output power estimation PV-load decoupling behind-the-meter PV baseline prediction n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 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. 2022-01-11T13:38:27Z 2022-01-11T13:38:27Z 2021 book ONIX_20220111_9783036510309_401 9783036510309 9783036510316 https://directory.doabooks.org/handle/20.500.12854/76666 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4113 https://mdpi.com/books/pdfview/book/4113 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1031-6 10.3390/books978-3-0365-1031-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036510309 9783036510316 186 Basel, Switzerland open access |
| spellingShingle | Direct Normal Irradiance (DNI) IFS/ECMWF forecast evaluation DNI attenuation Index (DAI) bias correction nowcast meteorological radar data optical flow deep learning Bates–Granger weights uniform weights (REG) ARIMA ETS Hodrick–Prescott trend Google Trends indices Himalayan region streamflow forecast verification persistence snow-fed rivers intermittent rivers costumer relation management business to business sales prediction machine learning predictive modeling microsoft azure machine-learning service travel time forecasting time series bus service transit systems sustainable urban mobility plan bus travel time learning curve forecasting production cost cost estimating semi-empirical model logistic map COVID-19 SARS-CoV-2 PV output power estimation PV-load decoupling behind-the-meter PV baseline prediction n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Feature Papers of Forecasting |
| title | Feature Papers of Forecasting |
| title_full | Feature Papers of Forecasting |
| title_fullStr | Feature Papers of Forecasting |
| title_full_unstemmed | Feature Papers of Forecasting |
| title_short | Feature Papers of Forecasting |
| title_sort | feature papers of forecasting |
| topic | Direct Normal Irradiance (DNI) IFS/ECMWF forecast evaluation DNI attenuation Index (DAI) bias correction nowcast meteorological radar data optical flow deep learning Bates–Granger weights uniform weights (REG) ARIMA ETS Hodrick–Prescott trend Google Trends indices Himalayan region streamflow forecast verification persistence snow-fed rivers intermittent rivers costumer relation management business to business sales prediction machine learning predictive modeling microsoft azure machine-learning service travel time forecasting time series bus service transit systems sustainable urban mobility plan bus travel time learning curve forecasting production cost cost estimating semi-empirical model logistic map COVID-19 SARS-CoV-2 PV output power estimation PV-load decoupling behind-the-meter PV baseline prediction n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | Direct Normal Irradiance (DNI) IFS/ECMWF forecast evaluation DNI attenuation Index (DAI) bias correction nowcast meteorological radar data optical flow deep learning Bates–Granger weights uniform weights (REG) ARIMA ETS Hodrick–Prescott trend Google Trends indices Himalayan region streamflow forecast verification persistence snow-fed rivers intermittent rivers costumer relation management business to business sales prediction machine learning predictive modeling microsoft azure machine-learning service travel time forecasting time series bus service transit systems sustainable urban mobility plan bus travel time learning curve forecasting production cost cost estimating semi-empirical model logistic map COVID-19 SARS-CoV-2 PV output power estimation PV-load decoupling behind-the-meter PV baseline prediction n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20220111_9783036510309_401 |