New Challenges in Solar Radiation, Modeling and Remote Sensing
This reprint gathers several works focused on recent and novel research in solar radiation modeling and forecasting where remote sensing techniques and retrieval information is employed as a part of the methodology. The use of machine learning algorithms in solar irradiance modeling and solar power...
Saved in:
Other Authors: | , |
---|---|
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
LEADER | 00000naaaa2200000uu 4500 | ||
---|---|---|---|
001 | doab_20_500_12854_101369 | ||
005 | 20230714 | ||
003 | oapen | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20230714s2023 xx |||||o ||| 0|eng d | ||
020 | |a books978-3-0365-7871-2 | ||
020 | |a 9783036578705 | ||
020 | |a 9783036578712 | ||
040 | |a oapen |c oapen | ||
024 | 7 | |a 10.3390/books978-3-0365-7871-2 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a KNTX |2 bicssc | |
100 | 1 | |a Polo, Jesús |4 edt | |
700 | 1 | |a Kaskaoutis, Dimitris |4 edt | |
700 | 1 | |a Polo, Jesús |4 oth | |
700 | 1 | |a Kaskaoutis, Dimitris |4 oth | |
245 | 1 | 0 | |a New Challenges in Solar Radiation, Modeling and Remote Sensing |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 electronic resource (222 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a This reprint gathers several works focused on recent and novel research in solar radiation modeling and forecasting where remote sensing techniques and retrieval information is employed as a part of the methodology. The use of machine learning algorithms in solar irradiance modeling and solar power forecasting is included in some of the works here presented. This is a topic with high interest nowadays because of the impact in solar energy deployment and in atmospheric studies as well. The recent improved remote sensing information and available data and the advances in machine learning algorithms have a relevant presence in this reprint indicating the current ad near future path of the contributions in solar radiation modeling. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Information technology industries |2 bicssc | |
653 | |a solar resource mapping | ||
653 | |a direct normal irradiance | ||
653 | |a δ-Eddington approximation | ||
653 | |a biomass burning | ||
653 | |a solar energy | ||
653 | |a PV energy production | ||
653 | |a energy losses | ||
653 | |a financial losses | ||
653 | |a forest fires | ||
653 | |a aerosol and cloud impact | ||
653 | |a surface solar irradiance (SSI) | ||
653 | |a GK2A/AMI | ||
653 | |a machine learning | ||
653 | |a daily average downward surface shortwave radiation | ||
653 | |a spatial downscaling | ||
653 | |a temporal extrapolation | ||
653 | |a Himawari-8 | ||
653 | |a Sentinel-2 | ||
653 | |a DEM | ||
653 | |a black ice | ||
653 | |a radiation flux | ||
653 | |a local weather | ||
653 | |a topography | ||
653 | |a sky view factor | ||
653 | |a shadow pattern | ||
653 | |a solar cadaster | ||
653 | |a solar potential in rooftops | ||
653 | |a digital surface model | ||
653 | |a geographic information system | ||
653 | |a radiation observation | ||
653 | |a meteorological observation | ||
653 | |a perceived temperature | ||
653 | |a SOWEIG model | ||
653 | |a road worker PT | ||
653 | |a smart grid | ||
653 | |a renewable energy sources | ||
653 | |a solar radiation forecasting | ||
653 | |a wavelet transform | ||
653 | |a complete ensemble empirical mode decomposition with adaptive noise | ||
653 | |a solar irradiance nowcasting | ||
653 | |a machine learning models blending | ||
653 | |a all sky imagers (ASI) | ||
653 | |a MSG satellite images | ||
653 | |a Visible All-Sky image | ||
653 | |a cloud cover | ||
653 | |a global horizontal irradiation | ||
653 | |a short-term forecast | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/7465 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/101369 |7 0 |z DOAB: description of the publication |