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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
Sprog:engelsk
Udgivet: MDPI - Multidisciplinary Digital Publishing Institute 2021
Fag:
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
Online adgang:ONIX_20210501_9783036504803_237
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Lignende værker: Assessment of Renewable Energy Resources with Remote Sensing

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