Feature Papers of Forecasting

• Andere auteurs: Leva, Sonia (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Onderwerpen: Research & 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
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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...