GIS and Remote Sensing for Renewable Energy Assessment and Maps

• Autres auteurs: Nastasi, Benedetto (Éditeur intellectuel), Nezhad, Meysam Majidi (Éditeur intellectuel)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Sujets: History of engineering & technology; 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
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

Résumé

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.

Description matérielle

1 electronic resource (244 p.)

ISBN

books978-3-0365-2866-3
9783036528663
9783036528670

Accès

Open Access