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Assessment of Renewable Energy Resources with Remote Sensing

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 a...

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Bibliographic Details
Main Author: Martins, Fernando Ramos
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Renewable Energy Resource Assessment And Forecasting
Machine Learning
Hydropower Reservoir
Digitized Image Processing
Lake Breeze Influence
Cloud Coverage
Solar Irradiance Forecasting
Forecasting
Data Processing
Solar Energy Resource
Plan Position Indicator
Image Processing
Parameter Extraction
Geothermal Energy
Scanning Lidar
Voxel-design Approach
Global Radiation
Solar Radiation Forecasting
Solar Photovoltaic
Point Cloud Data
Csp Plants
Solar Irradiance Enhancement
Solar Energy
Baltic Area
Electrical Resistivity Tomography
Time Domain Electromagnetic Method
Cloud
Scatterometer
Light Gradient Boosting Machine
Shading Envelopes
Passive Design Strategy
Research & Information: General / Bicssc
Satellite
Velocity Volume Processing
Graphical User Interface Software
Solar Irradiance Estimation
Feature Importance
Feature Engineering
Computational Design Method
Machine Learning Techniques
Potential Well Field Location
Hazaki Oceanographical Research Station
Photovoltaic Power Plant
Multistep-ahead Prediction
Extreme Value Analysis
Remote Sensing
Cloud Detection
Geophysical Prospecting
Ges-cal Software
Climate
Smart Island
Whale Optimization Algorithm
Sky Camera
Wind Speed
Artificial Neural Networks
Statistical Analysis
Surface Solar Radiation
Total Sky Imagery
Remote Sensing Data Acquisition
Coastline
Metaheuristic
Convection
Coastal Wind Measurements
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (244 p.)
ISBN:9783036504803
9783036504810
books978-3-0365-0481-0

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