Renewable Energy Resource Assessment and Forecasting (MDPI - Multidisciplinary Digital Publishing Institute, 2020)
Keywords: ANFIS; anthropogenic waste processing; biofuel; biomass; biotechnology; central solar receiver; clearness coefficient; climate policy; complex terrain; concentrated solar; concentrating solar power; cross border trading; deep learning; deformable models; developing countries; different horizontal resolution; direct normal irradiance; economic efficiency; electric energy demand; electricity trading; energy; energy resource assessment; forecast; forecast errors; forecasting; functional statistics; global horizontal irradiance (GHI); Granger causality; heat supply of industrial processes; high-resolution; Kalman filtering; Kalman-Bayesian filter; Markov chains; momentum sink; nowcasting; numerical weather prediction model; open channel flows; operational strategies; particle swarm optimization; photovoltaic solar energy; prediction; ramp rates; Reference, Information and Interdisciplinary subjects; renewable energy; renewable energy forecasting; renewable energy sources; Research and information: general; risk analysis; shape-invariant model; shark algorithm; shock-capturing capability; short-term forecasts; solar collectors; solar irradiance forecasts; solar irradiation; solar radiation; solar resource; spot prices; sustainable development; system advisor model; the European Green Deal; thermochemical; thrust force coefficient; tidal-stream energy; unbounded flow; validation; weather research and forecasting model; wind; WRF