01555nam 2200445 450 991027104380332120170316083559.01-118-90607-11-118-90605-5(CKB)4330000000007439(MiAaPQ)EBC4850320(EXLCZ)99433000000000743920170512h20172017 uy 0engurcnu||||||||rdacontentrdamediardacarrierNatural catastrophe risk management and modelling a practitioner's guide /edited by Kirsten Mitchell-Wallace [and three others]Chichester, England :Wiley Blackwell,2017.©20171 online resource (507 pages) illustrations (some color), tables1-118-90606-3 1-118-90604-7 Includes bibliographical references at the end of each chapters and index.Fundamentals -- Applications of catastrophe modelling -- The perils in brief -- Building catastrophe models -- Developing a view of risk.Emergency managementDisastersRisk assessmentElectronic books.Emergency management.DisastersRisk assessment.363.34/2Mitchell-Wallace Kirsten1973-MiAaPQMiAaPQMiAaPQBOOK9910271043803321Natural catastrophe risk management and modelling2795899UNINA04490nam 2201129z- 450 991067403000332120231214133153.0(CKB)5400000000042708(oapen)https://directory.doabooks.org/handle/20.500.12854/69351(EXLCZ)99540000000004270820202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRenewable Energy Resource Assessment and ForecastingBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (306 p.)3-03943-086-6 3-03943-087-4 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.Research & information: generalbicsscshort-term forecastsdirect normal irradianceconcentrating solar powersystem advisor modeloperational strategiescentral solar receiversolar irradiance forecastsnumerical weather prediction modeldifferent horizontal resolutionforecast errorsvalidationramp ratesrenewable energy forecastingsolar radiationshark algorithmparticle swarm optimizationANFISnowcastingKalman-Bayesian filterWRFhigh-resolutioncomplex terrainwindsolar irradiationphotovoltaic solar energydeep learningpredictionbiofuelrisk analysissustainable developmentrenewable energybiomassbiotechnologyanthropogenic waste processingenergy resource assessmenttidal-stream energythrust force coefficientmomentum sinkunbounded flowopen channel flowsshock-capturing capabilityglobal horizontal irradiance (GHI)forecastingclearness coefficientMarkov chainsweather research and forecasting modelsolar resourceheat supply of industrial processessolar collectorseconomic efficiencycross border tradingGranger causalityelectricity tradingspot pricesdeformable modelselectric energy demandfunctional statisticsKalman filteringshape-invariant modeldeveloping countriesconcentrated solarthermochemicalenergyrenewable energy sourcesclimate policyforecastthe European Green DealResearch & information: generalGalanis Georgeedt1338094Galanis GeorgeothBOOK9910674030003321Renewable Energy Resource Assessment and Forecasting3057856UNINA