Show simple item record

dc.contributor.editorMartins, Fernando Ramos
dc.date.accessioned2021-05-01T15:11:17Z
dc.date.available2021-05-01T15:11:17Z
dc.date.issued2021
dc.identifierONIX_20210501_9783036504803_237
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/68491
dc.description.abstractThe 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.othermetaheuristic
dc.subject.otherparameter extraction
dc.subject.othersolar photovoltaic
dc.subject.otherwhale optimization algorithm
dc.subject.othercloud detection
dc.subject.otherdigitized image processing
dc.subject.otherartificial neural networks
dc.subject.othersolar irradiance estimation
dc.subject.othersolar irradiance forecasting
dc.subject.othersolar energy
dc.subject.othersky camera
dc.subject.otherremote sensing
dc.subject.otherCSP plants
dc.subject.othercoastal wind measurements
dc.subject.otherscanning LiDAR
dc.subject.otherplan position indicator
dc.subject.othervelocity volume processing
dc.subject.otherHazaki Oceanographical Research Station
dc.subject.othercloud coverage
dc.subject.otherimage processing
dc.subject.othertotal sky imagery
dc.subject.othergeothermal energy
dc.subject.othergeophysical prospecting
dc.subject.othertime domain electromagnetic method
dc.subject.otherelectrical resistivity tomography
dc.subject.otherpotential well field location
dc.subject.otherGES-CAL software
dc.subject.othersmart island
dc.subject.othersolar radiation forecasting
dc.subject.otherlight gradient boosting machine
dc.subject.othermultistep-ahead prediction
dc.subject.otherfeature importance
dc.subject.othervoxel-design approach
dc.subject.othershading envelopes
dc.subject.otherpoint cloud data
dc.subject.othercomputational design method
dc.subject.otherpassive design strategy
dc.subject.otherlake breeze influence
dc.subject.otherhydropower reservoir
dc.subject.othersolar irradiance enhancement
dc.subject.othersolar energy resource
dc.subject.otherwind speed
dc.subject.otherextreme value analysis
dc.subject.otherscatterometer
dc.subject.otherfeature engineering
dc.subject.otherforecasting
dc.subject.othergraphical user interface software
dc.subject.othermachine learning
dc.subject.otherphotovoltaic power plant
dc.subject.othersurface solar radiation
dc.subject.otherglobal radiation
dc.subject.othersatellite
dc.subject.otherBaltic area
dc.subject.othercoastline
dc.subject.othercloud
dc.subject.otherconvection
dc.subject.otherclimate
dc.subject.otherrenewable energy resource assessment and forecasting
dc.subject.otherremote sensing data acquisition
dc.subject.otherdata processing
dc.subject.otherstatistical analysis
dc.subject.othermachine learning techniques
dc.titleAssessment of Renewable Energy Resources with Remote Sensing
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-0481-0
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036504803
oapen.relation.isbn9783036504810
oapen.pages244
oapen.place.publicationBasel, Switzerland


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/