Solar irradiance resource and forecasting: a comprehensive review
10.1049/iet-rpg.2019.1227
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INST ENGINEERING TECHNOLOGY-IET
2022
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sg-nus-scholar.10635-2342772024-04-17T05:53:03Z Solar irradiance resource and forecasting: a comprehensive review Kumar, Dhivya Sampath Yagli, Gokhan Mert Kashyap, Monika Srinivasan, Dipti ELECTRICAL AND COMPUTER ENGINEERING Science & Technology Technology Green & Sustainable Science & Technology Energy & Fuels Engineering, Electrical & Electronic Science & Technology - Other Topics Engineering solar power stations wireless sensor networks sunlight solar power atmospheric techniques power grids weather forecasting photovoltaic power systems reviews numerical weather prediction sensor-network power grid photovoltaic energy energy sources solar energy power supply solar forecasting power demand solar irradiance resource cloud-image based methodologies GLOBAL HORIZONTAL IRRADIANCE NEURAL-NETWORK MONITORING NETWORK POWER PRODUCTION CLOUD DETECTION SKY-IMAGER RADIATION SATELLITE MODEL PERFORMANCE 10.1049/iet-rpg.2019.1227 IET RENEWABLE POWER GENERATION 14 10 1641-1656 2022-11-10T02:41:41Z 2022-11-10T02:41:41Z 2020-07-27 2022-11-09T10:38:04Z Review Kumar, Dhivya Sampath, Yagli, Gokhan Mert, Kashyap, Monika, Srinivasan, Dipti (2020-07-27). Solar irradiance resource and forecasting: a comprehensive review. IET RENEWABLE POWER GENERATION 14 (10) : 1641-1656. ScholarBank@NUS Repository. https://doi.org/10.1049/iet-rpg.2019.1227 1752-1416 1752-1424 https://scholarbank.nus.edu.sg/handle/10635/234277 en INST ENGINEERING TECHNOLOGY-IET Elements |
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Science & Technology Technology Green & Sustainable Science & Technology Energy & Fuels Engineering, Electrical & Electronic Science & Technology - Other Topics Engineering solar power stations wireless sensor networks sunlight solar power atmospheric techniques power grids weather forecasting photovoltaic power systems reviews numerical weather prediction sensor-network power grid photovoltaic energy energy sources solar energy power supply solar forecasting power demand solar irradiance resource cloud-image based methodologies GLOBAL HORIZONTAL IRRADIANCE NEURAL-NETWORK MONITORING NETWORK POWER PRODUCTION CLOUD DETECTION SKY-IMAGER RADIATION SATELLITE MODEL PERFORMANCE |
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Science & Technology Technology Green & Sustainable Science & Technology Energy & Fuels Engineering, Electrical & Electronic Science & Technology - Other Topics Engineering solar power stations wireless sensor networks sunlight solar power atmospheric techniques power grids weather forecasting photovoltaic power systems reviews numerical weather prediction sensor-network power grid photovoltaic energy energy sources solar energy power supply solar forecasting power demand solar irradiance resource cloud-image based methodologies GLOBAL HORIZONTAL IRRADIANCE NEURAL-NETWORK MONITORING NETWORK POWER PRODUCTION CLOUD DETECTION SKY-IMAGER RADIATION SATELLITE MODEL PERFORMANCE Kumar, Dhivya Sampath Yagli, Gokhan Mert Kashyap, Monika Srinivasan, Dipti Solar irradiance resource and forecasting: a comprehensive review |
description |
10.1049/iet-rpg.2019.1227 |
author2 |
ELECTRICAL AND COMPUTER ENGINEERING |
author_facet |
ELECTRICAL AND COMPUTER ENGINEERING Kumar, Dhivya Sampath Yagli, Gokhan Mert Kashyap, Monika Srinivasan, Dipti |
format |
Review |
author |
Kumar, Dhivya Sampath Yagli, Gokhan Mert Kashyap, Monika Srinivasan, Dipti |
author_sort |
Kumar, Dhivya Sampath |
title |
Solar irradiance resource and forecasting: a comprehensive review |
title_short |
Solar irradiance resource and forecasting: a comprehensive review |
title_full |
Solar irradiance resource and forecasting: a comprehensive review |
title_fullStr |
Solar irradiance resource and forecasting: a comprehensive review |
title_full_unstemmed |
Solar irradiance resource and forecasting: a comprehensive review |
title_sort |
solar irradiance resource and forecasting: a comprehensive review |
publisher |
INST ENGINEERING TECHNOLOGY-IET |
publishDate |
2022 |
url |
https://scholarbank.nus.edu.sg/handle/10635/234277 |
_version_ |
1800915700861108224 |