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Título de Acceso Abierto

Assessment of Renewable Energy Resources with Remote Sensing

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

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

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-0481-0

País de edición

Suiza