Renewable Energy Resource Assessment and Forecasting
Galanis, George
Renewable Energy Resource Assessment and Forecasting - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (306 p.)
Open Access
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.
Creative Commons
English
books978-3-03943-087-1 9783039430864 9783039430871
10.3390/books978-3-03943-087-1 doi
Research & information: general
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
Renewable Energy Resource Assessment and Forecasting - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (306 p.)
Open Access
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.
Creative Commons
English
books978-3-03943-087-1 9783039430864 9783039430871
10.3390/books978-3-03943-087-1 doi
Research & information: general
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