Assessment of Renewable Energy Resources with Remote Sensing
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...
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| Format: | Online |
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| Sprog: | engelsk |
| Udgivet: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Fag: | |
| Online adgang: | ONIX_20210501_9783036504803_237 |
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| _version_ | 1869524832511590400 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-68491 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-684912024-03-27T16:34:38Z Assessment of Renewable Energy Resources with Remote Sensing Martins, Fernando Ramos metaheuristic parameter extraction solar photovoltaic whale optimization algorithm cloud detection digitized image processing artificial neural networks solar irradiance estimation solar irradiance forecasting solar energy sky camera remote sensing CSP plants coastal wind measurements scanning LiDAR plan position indicator velocity volume processing Hazaki Oceanographical Research Station cloud coverage image processing total sky imagery geothermal energy geophysical prospecting time domain electromagnetic method electrical resistivity tomography potential well field location GES-CAL software smart island solar radiation forecasting light gradient boosting machine multistep-ahead prediction feature importance voxel-design approach shading envelopes point cloud data computational design method passive design strategy lake breeze influence hydropower reservoir solar irradiance enhancement solar energy resource wind speed extreme value analysis scatterometer feature engineering forecasting graphical user interface software machine learning photovoltaic power plant surface solar radiation global radiation satellite Baltic area coastline cloud convection climate renewable energy resource assessment and forecasting remote sensing data acquisition data processing statistical analysis machine learning techniques thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 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. 2021-05-01T15:11:17Z 2021-05-01T15:11:17Z 2021 book ONIX_20210501_9783036504803_237 9783036504803 9783036504810 https://directory.doabooks.org/handle/20.500.12854/68491 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3511 https://mdpi.com/books/pdfview/book/3511 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0481-0 10.3390/books978-3-0365-0481-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036504803 9783036504810 244 Basel, Switzerland open access |
| spellingShingle | metaheuristic parameter extraction solar photovoltaic whale optimization algorithm cloud detection digitized image processing artificial neural networks solar irradiance estimation solar irradiance forecasting solar energy sky camera remote sensing CSP plants coastal wind measurements scanning LiDAR plan position indicator velocity volume processing Hazaki Oceanographical Research Station cloud coverage image processing total sky imagery geothermal energy geophysical prospecting time domain electromagnetic method electrical resistivity tomography potential well field location GES-CAL software smart island solar radiation forecasting light gradient boosting machine multistep-ahead prediction feature importance voxel-design approach shading envelopes point cloud data computational design method passive design strategy lake breeze influence hydropower reservoir solar irradiance enhancement solar energy resource wind speed extreme value analysis scatterometer feature engineering forecasting graphical user interface software machine learning photovoltaic power plant surface solar radiation global radiation satellite Baltic area coastline cloud convection climate renewable energy resource assessment and forecasting remote sensing data acquisition data processing statistical analysis machine learning techniques thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Assessment of Renewable Energy Resources with Remote Sensing |
| title | Assessment of Renewable Energy Resources with Remote Sensing |
| title_full | Assessment of Renewable Energy Resources with Remote Sensing |
| title_fullStr | Assessment of Renewable Energy Resources with Remote Sensing |
| title_full_unstemmed | Assessment of Renewable Energy Resources with Remote Sensing |
| title_short | Assessment of Renewable Energy Resources with Remote Sensing |
| title_sort | assessment of renewable energy resources with remote sensing |
| topic | metaheuristic parameter extraction solar photovoltaic whale optimization algorithm cloud detection digitized image processing artificial neural networks solar irradiance estimation solar irradiance forecasting solar energy sky camera remote sensing CSP plants coastal wind measurements scanning LiDAR plan position indicator velocity volume processing Hazaki Oceanographical Research Station cloud coverage image processing total sky imagery geothermal energy geophysical prospecting time domain electromagnetic method electrical resistivity tomography potential well field location GES-CAL software smart island solar radiation forecasting light gradient boosting machine multistep-ahead prediction feature importance voxel-design approach shading envelopes point cloud data computational design method passive design strategy lake breeze influence hydropower reservoir solar irradiance enhancement solar energy resource wind speed extreme value analysis scatterometer feature engineering forecasting graphical user interface software machine learning photovoltaic power plant surface solar radiation global radiation satellite Baltic area coastline cloud convection climate renewable energy resource assessment and forecasting remote sensing data acquisition data processing statistical analysis machine learning techniques thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | metaheuristic parameter extraction solar photovoltaic whale optimization algorithm cloud detection digitized image processing artificial neural networks solar irradiance estimation solar irradiance forecasting solar energy sky camera remote sensing CSP plants coastal wind measurements scanning LiDAR plan position indicator velocity volume processing Hazaki Oceanographical Research Station cloud coverage image processing total sky imagery geothermal energy geophysical prospecting time domain electromagnetic method electrical resistivity tomography potential well field location GES-CAL software smart island solar radiation forecasting light gradient boosting machine multistep-ahead prediction feature importance voxel-design approach shading envelopes point cloud data computational design method passive design strategy lake breeze influence hydropower reservoir solar irradiance enhancement solar energy resource wind speed extreme value analysis scatterometer feature engineering forecasting graphical user interface software machine learning photovoltaic power plant surface solar radiation global radiation satellite Baltic area coastline cloud convection climate renewable energy resource assessment and forecasting remote sensing data acquisition data processing statistical analysis machine learning techniques thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20210501_9783036504803_237 |