A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality

D Yang, W Wang, CA Gueymard, T Hong… - … and Sustainable Energy …, 2022 - Elsevier
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 …

Energy consumption and carbon emissions forecasting for industrial processes: Status, challenges and perspectives

Y Hu, Y Man - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
The industrial process consumes substantial energy and emits large amounts of carbon
dioxide. With the help of accurate energy consumption and carbon emissions forecasting …

The value of solar forecasts and the cost of their errors: A review

O Gandhi, W Zhang, DS Kumar… - … and Sustainable Energy …, 2024 - Elsevier
Despite the advances in solar forecasting methods, and their ever-increasing accuracy, little
is known about their value for real applications, eg, bidding in the electricity market, power …

Sizing and forecasting techniques in photovoltaic-wind based hybrid renewable energy system: A review

AK Bansal - Journal of Cleaner Production, 2022 - Elsevier
With increasing awareness towards environmental concern, efforts are made to reduce
harmful effects of conventional electricity generation methods and uses of renewable …

[HTML][HTML] Advances in solar forecasting: Computer vision with deep learning

Q Paletta, G Terrén-Serrano, Y Nie, B Li… - Advances in Applied …, 2023 - Elsevier
Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …

[HTML][HTML] Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions

Q Paletta, G Arbod, J Lasenby - Applied Energy, 2023 - Elsevier
Integrating large proportions of intermittent renewable energy sources into electric grids is
challenging. A well-established approach aimed at addressing this difficulty involves the …

[HTML][HTML] A concise overview on solar resource assessment and forecasting

D Yang, W Wang, X Xia - Advances in Atmospheric Sciences, 2022 - Springer
China's recently announced directive on tackling climate change, namely, to reach carbon
peak by 2030 and to achieve carbon neutrality by 2060, has led to an unprecedented …

Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey

Y Nie, X Li, Q Paletta, M Aragon, A Scott… - … and Sustainable Energy …, 2024 - Elsevier
Sky image-based solar forecasting using deep learning has been recognized as a
promising approach in reducing the uncertainty of solar power generation. However, a major …

A review of behind-the-meter solar forecasting

BC Erdener, C Feng, K Doubleday, A Florita… - … and Sustainable Energy …, 2022 - Elsevier
Solar photovoltaic systems largely integrated within the distribution grid are operated
'behind-the-meter'and power generation cannot be directly monitored by most utilities. The …

Post-processing in solar forecasting: Ten overarching thinking tools

D Yang, D van der Meer - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Forecasts are always wrong, otherwise, they are merely deterministic calculations. Besides
leveraging advanced forecasting methods, post-processing has become a standard practice …