TY - BOOK ID - 136054418 TI - Renewable Energy Resource Assessment and Forecasting PY - 2020 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - short-term forecasts KW - direct normal irradiance KW - concentrating solar power KW - system advisor model KW - operational strategies KW - central solar receiver KW - solar irradiance forecasts KW - numerical weather prediction model KW - different horizontal resolution KW - forecast errors KW - validation KW - ramp rates KW - renewable energy forecasting KW - solar radiation KW - shark algorithm KW - particle swarm optimization KW - ANFIS KW - nowcasting KW - Kalman-Bayesian filter KW - WRF KW - high-resolution KW - complex terrain KW - wind KW - solar irradiation KW - photovoltaic solar energy KW - deep learning KW - prediction KW - biofuel KW - risk analysis KW - sustainable development KW - renewable energy KW - biomass KW - biotechnology KW - anthropogenic waste processing KW - energy resource assessment KW - tidal-stream energy KW - thrust force coefficient KW - momentum sink KW - unbounded flow KW - open channel flows KW - shock-capturing capability KW - global horizontal irradiance (GHI) KW - forecasting KW - clearness coefficient KW - Markov chains KW - weather research and forecasting model KW - solar resource KW - heat supply of industrial processes KW - solar collectors KW - economic efficiency KW - cross border trading KW - Granger causality KW - electricity trading KW - spot prices KW - deformable models KW - electric energy demand KW - functional statistics KW - Kalman filtering KW - shape-invariant model KW - developing countries KW - concentrated solar KW - thermochemical KW - energy KW - renewable energy sources KW - climate policy KW - forecast KW - the European Green Deal UR - https://www.unicat.be/uniCat?func=search&query=sysid:136054418 AB - In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources. ER -