04708nam 2201081z- 450 991055742790332120210501(CKB)5400000000043445(oapen)https://directory.doabooks.org/handle/20.500.12854/68491(oapen)doab68491(EXLCZ)99540000000004344520202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAssessment of Renewable Energy Resources with Remote SensingBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (244 p.)3-0365-0480-X 3-0365-0481-8 The book "Assessment of Renewable Energy Resources with Remote Sensing" focuses on disseminating scientific knowledge and technological developments for the assessment and forecasting of renewable energy resources using remote sensing techniques. The eleven papers inside the book provide an overview of remote sensing applications on hydro, solar, wind and geothermal energy resources and their major goal is to provide state of art knowledge to contribute with the renewable energy resource deployment, especially in regions where energy demand is rapidly expanding. Renewable energy resources have an intrinsic relationship with local environmental features and the regional climate. Even small and fast environment and/or climate changes can cause significant variability in power generation at different time and space scales. Methodologies based on remote sensing are the primary source of information for the development of numerical models that aim to support the planning and operation of an electric system with a substantial contribution of intermittent energy sources. In addition, reliable data and knowledge on renewable energy resource assessment are fundamental to ensure sustainable expansion considering environmental, financial and energetic security.Research & information: generalbicsscartificial neural networksBaltic areaclimatecloudcloud coveragecloud detectioncoastal wind measurementscoastlinecomputational design methodconvectionCSP plantsdata processingdigitized image processingelectrical resistivity tomographyextreme value analysisfeature engineeringfeature importanceforecastinggeophysical prospectinggeothermal energyGES-CAL softwareglobal radiationgraphical user interface softwareHazaki Oceanographical Research Stationhydropower reservoirimage processinglake breeze influencelight gradient boosting machinemachine learningmachine learning techniquesmetaheuristicmultistep-ahead predictionparameter extractionpassive design strategyphotovoltaic power plantplan position indicatorpoint cloud datapotential well field locationremote sensingremote sensing data acquisitionrenewable energy resource assessment and forecastingsatellitescanning LiDARscatterometershading envelopessky camerasmart islandsolar energysolar energy resourcesolar irradiance enhancementsolar irradiance estimationsolar irradiance forecastingsolar photovoltaicsolar radiation forecastingstatistical analysissurface solar radiationtime domain electromagnetic methodtotal sky imageryvelocity volume processingvoxel-design approachwhale optimization algorithmwind speedResearch & information: generalMartins Fernando Ramosedt1297532Martins Fernando RamosothBOOK9910557427903321Assessment of Renewable Energy Resources with Remote Sensing3024506UNINA