Kansikuva

GIS and Remote Sensing for Renewable Energy Assessment and Maps

This book aims at providing the state-of-the-art on all of the aforementioned tools in different energy applications and at different scales, i.e., urban, regional, national, and even continental for renewable scenarios planning and policy making.

Tallennettuna:
Aineistotyyppi: Online
Kieli:englanti
Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2022
Aiheet:
distributed photovoltaic power stations
remote sensing images
convolutional neural network
multi-layer features
edge
spatial energy planning
site-selection process
participatory planning
onshore wind farms
photovoltaic farms
GIS
AHP
Borda Count
TOPSIS
Israel
land use
life cycle thinking and photovoltaic system
photovoltaic solar potential
calibration
validation
ArcGIS solar radiation
Netherlands
solar panel
deep learning
semantic segmentation
small-hydro
tuxtlas mountains
Grid
SWAT
MSA
marine renewable energy
wind climate
wind power assessment
wind energy capacity factor
scatterometer
Thracian Sea
power system
wind power production
SCADA data
fuzzy GMDH neural network
grey wolf optimization
district heat network
thermal energy modelling
heat map
university campus
Ireland
GIS energy mapping
building heat demand and generation
heat balance
pollutant emission
traffic mobility
COVID-19
sustainable transportation
paired sample t-test
tides
tidal current
tidal velocity
barrages
channels
bathymetry
flow rate
site analysis
coastal resources
total solar irradiation
GIS analysis
mathematical model
grid map design
statistical analysis
sustainable urban planning
solar irradiation
renewable energy assessment
solar harvesting surface
urban energy tools
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Linkit:ONIX_20220224_9783036528663_86
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