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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Erakunde egilea: Leva, Sonia
Formatua: Livro
Hizkuntza:Inglês
Argitaratua: MDPI - Multidisciplinary Digital Publishing Institute 2021
Gaiak:
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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
Sarrera elektronikoa:https://directory.doabooks.org/handle/20.500.12854/76666
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