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Assessment of Renewable Energy Resources with Remote Sensing
Assessment of Renewable Energy Resources with Remote Sensing
Autore Martins Fernando Ramos
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (244 p.)
Soggetto topico Research & information: general
Soggetto non controllato 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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557427903321
Martins Fernando Ramos  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Remote Sensing of Atmospheric Conditions for Wind Energy Applications
Remote Sensing of Atmospheric Conditions for Wind Energy Applications
Autore Hasager Charlotte
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (290 p.)
Soggetto non controllato complex flow
Floating Lidar System (FLS)
mesoscale
wind energy resources
variational analysis
wind turbine
wind sensing
wind energy
wind gusts
wake
wind structure
complex terrain
global ocean
remote sensing forecasting
detached eddy simulation
five-minute ahead wind power forecasting
tropical cyclones
fetch effect
aerosol
vertical Light Detection and Ranging
range gate length
resource assessment
field experiments
remote sensing
optical flow
turbulence
atmospheric boundary layer
Doppler Wind Lidar
offshore
empirical equation
Lidar
WindSAT
coastal wind measurement
offshore wind speed forecasting
Doppler wind lidar
Doppler
wind
wind lidar
cross-correlation
QuikSCAT
wind resource assessment
detecting and tracking
single-particle
gust prediction
NWP model
velocity-azimuth-display algorithm
lidar-assisted control (LAC)
Doppler lidar
motion estimation
power performance testing
lidar
large-eddy simulations
wind farm
coherent Doppler lidar
wake modeling
probabilistic forecasting
control
NeoWins
wind turbine controls
impact prediction
wind turbine wake
Hazaki Oceanographical Research Station
VAD
virtual lidar
Doppler radar
IEA Wind Task 32
ASCAT
wind atlas
turbulence intensity
ISBN 3-03897-943-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346674903321
Hasager Charlotte  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui