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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 electronic resource (186 p.)
Soggetto topico: Research & information: general
Soggetto non controllato: 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
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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