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Feature Papers of Forecasting



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Autore: Leva Sonia Visualizza persona
Titolo: Feature Papers of Forecasting Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica: 1 online resource (186 p.)
Soggetto topico: Research and information: general
Soggetto non controllato: (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
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
Persona (resp. second.): LevaSonia
Sommario/riassunto: 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.
Titolo autorizzato: Feature Papers of Forecasting  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557390403321
Lo trovi qui: Univ. Federico II
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