TY - BOOK ID - 134781815 TI - Feature Papers of Forecasting PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Direct Normal Irradiance (DNI) KW - IFS/ECMWF KW - forecast KW - evaluation KW - DNI attenuation Index (DAI) KW - bias correction KW - nowcast KW - meteorological radar data KW - optical flow KW - deep learning KW - Bates–Granger weights KW - uniform weights KW - (REG) ARIMA KW - ETS KW - Hodrick–Prescott trend KW - Google Trends indices KW - Himalayan region KW - streamflow forecast verification KW - persistence KW - snow-fed rivers KW - intermittent rivers KW - costumer relation management KW - business to business sales prediction KW - machine learning KW - predictive modeling KW - microsoft azure machine-learning service KW - travel time forecasting KW - time series KW - bus service KW - transit systems KW - sustainable urban mobility plan KW - bus travel time KW - learning curve KW - forecasting KW - production cost KW - cost estimating KW - semi-empirical model KW - logistic map KW - COVID-19 KW - SARS-CoV-2 KW - PV output power estimation KW - PV-load decoupling KW - behind-the-meter PV KW - baseline prediction KW - n/a KW - Bates-Granger weights KW - Hodrick-Prescott trend UR - https://www.unicat.be/uniCat?func=search&query=sysid:134781815 AB - 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. ER -