04689nam 2201069z- 450 991055742790332120240315202342.0(CKB)5400000000043445(oapen)https://directory.doabooks.org/handle/20.500.12854/68491(EXLCZ)99540000000004344520202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAssessment of Renewable Energy Resources with Remote SensingBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic 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: generalbicsscmetaheuristicparameter extractionsolar photovoltaicwhale optimization algorithmcloud detectiondigitized image processingartificial neural networkssolar irradiance estimationsolar irradiance forecastingsolar energysky cameraremote sensingCSP plantscoastal wind measurementsscanning LiDARplan position indicatorvelocity volume processingHazaki Oceanographical Research Stationcloud coverageimage processingtotal sky imagerygeothermal energygeophysical prospectingtime domain electromagnetic methodelectrical resistivity tomographypotential well field locationGES-CAL softwaresmart islandsolar radiation forecastinglight gradient boosting machinemultistep-ahead predictionfeature importancevoxel-design approachshading envelopespoint cloud datacomputational design methodpassive design strategylake breeze influencehydropower reservoirsolar irradiance enhancementsolar energy resourcewind speedextreme value analysisscatterometerfeature engineeringforecastinggraphical user interface softwaremachine learningphotovoltaic power plantsurface solar radiationglobal radiationsatelliteBaltic areacoastlinecloudconvectionclimaterenewable energy resource assessment and forecastingremote sensing data acquisitiondata processingstatistical analysismachine learning techniquesResearch & information: generalMartins Fernando Ramosedt1297532Martins Fernando RamosothBOOK9910557427903321Assessment of Renewable Energy Resources with Remote Sensing3024506UNINA