A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality
The ability to forecast solar irradiance plays an indispensable role in solar power
forecasting, which constitutes an essential step in planning and operating power systems …
forecasting, which constitutes an essential step in planning and operating power systems …
[HTML][HTML] A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions
The emergence of renewable-energy-source (RES) envelope solutions, building retrofit
requirements and advanced energy technologies brought about challenges to the existing …
requirements and advanced energy technologies brought about challenges to the existing …
Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning
The outputs of photovoltaic (PV) power are random and uncertain due to the variations of
meteorological elements, which may disturb the safety and stability of power system …
meteorological elements, which may disturb the safety and stability of power system …
Ultra-short-term exogenous forecasting of photovoltaic power production using genetically optimized non-linear auto-regressive recurrent neural networks
Accurate and credible ultra-short-term photovoltaic (PV) power production prediction is very
important in short-term resource planning, electric power dispatching, and operational …
important in short-term resource planning, electric power dispatching, and operational …
Worldwide validation of 8 satellite-derived and reanalysis solar radiation products: A preliminary evaluation and overall metrics for hourly data over 27 years
D Yang, JM Bright - Solar Energy, 2020 - Elsevier
Gridded solar radiation products, namely satellite-derived irradiance and reanalysis
irradiance, are key to the next-generation solar resource assessment and forecasting. Since …
irradiance, are key to the next-generation solar resource assessment and forecasting. Since …
[HTML][HTML] Progress in regional PV power forecasting: A sensitivity analysis on the Italian case study
The increasing penetration of PV generation, driven by climate strategies and objectives,
calls for accurate production forecasting to mitigate the negative effects associated with …
calls for accurate production forecasting to mitigate the negative effects associated with …
Distributed solar photovoltaic development potential and a roadmap at the city level in China
Y Wang, J He, W Chen - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
China has the world's largest photovoltaic (PV) market, and its cumulative PV installation
capacity reached more than 200 GW in 2019. However, a large gap remains to achieve the …
capacity reached more than 200 GW in 2019. However, a large gap remains to achieve the …
Worldwide performance assessment of 75 global clear-sky irradiance models using principal component analysis
X Sun, JM Bright, CA Gueymard, B Acord… - … and Sustainable Energy …, 2019 - Elsevier
This study evaluates the performance of 75 clear-sky global irradiance models against 75
ground stations worldwide covering five major Köppen-Geiger climate classifications and …
ground stations worldwide covering five major Köppen-Geiger climate classifications and …
Machine Learning techniques for solar irradiation nowcasting: Cloud type classification forecast through satellite data and imagery
One of the most important modern challenges in making the renewable energy sources
more reliable is the development of new tools to better manage their non programmable …
more reliable is the development of new tools to better manage their non programmable …
Solcast: Validation of a satellite-derived solar irradiance dataset
JM Bright - Solar energy, 2019 - Elsevier
Abstract Solcast (https://solcast. com/) is a global solar forecasting and historical solar
irradiance data company. Their datasets are important to the scientific community as …
irradiance data company. Their datasets are important to the scientific community as …