LEADER 04501nam 2201141z- 450 001 9910674030003321 005 20210501 035 $a(CKB)5400000000042708 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69351 035 $a(oapen)doab69351 035 $a(EXLCZ)995400000000042708 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aRenewable Energy Resource Assessment and Forecasting 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (306 p.) 311 08$a3-03943-086-6 311 08$a3-03943-087-4 330 $aIn 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. 606 $aResearch & information: general$2bicssc 610 $aANFIS 610 $aanthropogenic waste processing 610 $abiofuel 610 $abiomass 610 $abiotechnology 610 $acentral solar receiver 610 $aclearness coefficient 610 $aclimate policy 610 $acomplex terrain 610 $aconcentrated solar 610 $aconcentrating solar power 610 $across border trading 610 $adeep learning 610 $adeformable models 610 $adeveloping countries 610 $adifferent horizontal resolution 610 $adirect normal irradiance 610 $aeconomic efficiency 610 $aelectric energy demand 610 $aelectricity trading 610 $aenergy 610 $aenergy resource assessment 610 $aforecast 610 $aforecast errors 610 $aforecasting 610 $afunctional statistics 610 $aglobal horizontal irradiance (GHI) 610 $aGranger causality 610 $aheat supply of industrial processes 610 $ahigh-resolution 610 $aKalman filtering 610 $aKalman-Bayesian filter 610 $aMarkov chains 610 $amomentum sink 610 $anowcasting 610 $anumerical weather prediction model 610 $aopen channel flows 610 $aoperational strategies 610 $aparticle swarm optimization 610 $aphotovoltaic solar energy 610 $aprediction 610 $aramp rates 610 $arenewable energy 610 $arenewable energy forecasting 610 $arenewable energy sources 610 $arisk analysis 610 $ashape-invariant model 610 $ashark algorithm 610 $ashock-capturing capability 610 $ashort-term forecasts 610 $asolar collectors 610 $asolar irradiance forecasts 610 $asolar irradiation 610 $asolar radiation 610 $asolar resource 610 $aspot prices 610 $asustainable development 610 $asystem advisor model 610 $athe European Green Deal 610 $athermochemical 610 $athrust force coefficient 610 $atidal-stream energy 610 $aunbounded flow 610 $avalidation 610 $aweather research and forecasting model 610 $awind 610 $aWRF 615 7$aResearch & information: general 700 $aGalanis$b George$4edt$01338094 702 $aGalanis$b George$4oth 906 $aBOOK 912 $a9910674030003321 996 $aRenewable Energy Resource Assessment and Forecasting$93057856 997 $aUNINA