GIS and Remote Sensing for Renewable Energy Assessment and Maps

doi:10.3390/books978-3-0365-2866-3

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Hardback

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Keywords

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; GIS; 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; marine renewable energy; 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

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GIS and Remote Sensing for Renewable Energy Assessment and Maps

Edited by

January 2022

264 pages

ISBN978-3-0365-2867-0 (Hardback)
ISBN978-3-0365-2866-3 (PDF)

https://doi.org/10.3390/books978-3-0365-2866-3

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This is a Reprint of the Special Issue GIS and Remote Sensing for Renewable Energy Assessment and Maps that was published in

Chemistry & Materials Science

Engineering

Environmental & Earth Sciences

Physical Sciences

Summary

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.