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GIS and Remote Sensing for Renewable Energy Assessment and Maps
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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.
This book is included in DOAB.
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Keywords
- AHP
- ArcGIS solar radiation
- barrages
- bathymetry
- Borda Count
- building heat demand and generation
- calibration
- Channels
- coastal resources
- convolutional neural network
- COVID-19
- deep learning
- distributed photovoltaic power stations
- district heat network
- edge
- flow rate
- fuzzy GMDH neural network
- GIS
- GIS analysis
- GIS energy mapping
- grey wolf optimization
- grid
- grid map design
- Heat balance
- heat map
- History of engineering & technology
- Ireland
- Israel
- Land use
- life cycle thinking and photovoltaic system
- marine renewable energy
- Mathematical model
- MSA
- multi-layer features
- n/a
- Netherlands
- onshore wind farms
- paired sample t-test
- Participatory Planning
- photovoltaic farms
- photovoltaic solar potential
- pollutant emission
- power system
- remote sensing images
- renewable energy assessment
- SCADA data
- scatterometer
- semantic segmentation
- site analysis
- site-selection process
- small-hydro
- solar harvesting surface
- solar irradiation
- solar panel
- spatial energy planning
- statistical analysis
- sustainable transportation
- sustainable urban planning
- SWAT
- Technology, engineering, agriculture
- Technology: general issues
- thermal energy modelling
- Thracian Sea
- tidal current
- tidal velocity
- Tides
- TOPSIS
- total solar irradiation
- traffic mobility
- tuxtlas mountains
- university campus
- urban energy tools
- Validation
- wind climate
- wind energy capacity factor
- wind power assessment
- wind power production
Links
DOI: 10.3390/books978-3-0365-2866-3Editions