Back to Search
Start Over
Assessment of Renewable Energy Resources with Remote Sensing.
-
Abstract
- Summary: The book "Assessment of Renewable Energy Resources with Remote Sensing" focuses on disseminating scientific knowledge and technological developments for the assessment and forecasting of renewable energy resources using remote sensing techniques. The eleven papers inside the book provide an overview of remote sensing applications on hydro, solar, wind and geothermal energy resources and their major goal is to provide state of art knowledge to contribute with the renewable energy resource deployment, especially in regions where energy demand is rapidly expanding. Renewable energy resources have an intrinsic relationship with local environmental features and the regional climate. Even small and fast environment and/or climate changes can cause significant variability in power generation at different time and space scales. Methodologies based on remote sensing are the primary source of information for the development of numerical models that aim to support the planning and operation of an electric system with a substantial contribution of intermittent energy sources. In addition, reliable data and knowledge on renewable energy resource assessment are fundamental to ensure sustainable expansion considering environmental, financial and energetic security.
- Subjects :
- Research & information: general
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
Subjects
Details
- Language :
- English
- ISBN :
- books978-3-0365-0481-0
9783036504803
9783036504810 - ISBNs :
- 9783036504810, 9783036504803, and 9783036504810
- Database :
- Jio Institute Digital Library Catalog
- Journal :
- Assessment of Renewable Energy Resources with Remote Sensing
- Notes :
- 003285, FinTech, Open Access star Unrestricted online access, Creative Commons https://creativecommons.org/licenses/by/4.0/ cc https://creativecommons.org/licenses/by/4.0/, English
- Publication Type :
- Book
- Accession number :
- jlc.oai.folio.org.fs00001072.c3a9a734.0c27.4917.8686.60a988dd4766
- Document Type :
- Book; Electronic document