Renewable Energy Resource Assessment and Forecasting

• Autore: Galanis George
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 electronic resource (306 p.)
• Soggetto topico: Research & information: general
• Soggetto non controllato: short-term forecasts; direct normal irradiance; concentrating solar power; system advisor model; operational strategies; central solar receiver; solar irradiance forecasts; numerical weather prediction model; different horizontal resolution; forecast errors; validation; ramp rates; renewable energy forecasting; solar radiation; shark algorithm; particle swarm optimization; ANFIS; nowcasting; Kalman-Bayesian filter; WRF; high-resolution; complex terrain; wind; solar irradiation; photovoltaic solar energy; deep learning; prediction; biofuel; risk analysis; sustainable development; renewable energy; biomass; biotechnology; anthropogenic waste processing; energy resource assessment; tidal-stream energy; thrust force coefficient; momentum sink; unbounded flow; open channel flows; shock-capturing capability; global horizontal irradiance (GHI); forecasting; clearness coefficient; Markov chains; weather research and forecasting model; solar resource; heat supply of industrial processes; solar collectors; economic efficiency; cross border trading; Granger causality; electricity trading; spot prices; deformable models; electric energy demand; functional statistics; Kalman filtering; shape-invariant model; developing countries; concentrated solar; thermochemical; energy; renewable energy sources; climate policy; forecast; the European Green Deal
• Persona (resp. second.): GalanisGeorge
• Sommario/riassunto: 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.
• Titolo autorizzato: Renewable Energy Resource Assessment and Forecasting
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910674030003321
• Lo trovi qui: Univ. Federico II