A satellite-based novel method to forecast short-term (10 min − 4 h) solar radiation by combining satellite-based cloud transmittance forecast and physical clear-sky radiation model DOI
Bing Hu, Huaiyong Shao,

Changkun Shao

et al.

Solar Energy, Journal Year: 2025, Volume and Issue: 290, P. 113376 - 113376

Published: Feb. 23, 2025

Language: Английский

Performance Analysis of a Predictive Control Strategy for a Simulated Central Tower Csp Plant Using Real-Time Solar Radiation Measurements DOI
Esteban Soto, Jesús García,

Rubén Arévalo

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Artificial intelligence applications in solar energy DOI Creative Commons
Thanh Tuan Le, Thi Thai Le, Huu Cuong Le

et al.

JOIV International Journal on Informatics Visualization, Journal Year: 2024, Volume and Issue: 8(2), P. 826 - 826

Published: May 31, 2024

Renewable energy research has become significant in the modern period owing to escalating prices of fossil fuels and pressing need reduce greenhouse gas emissions. Solar stands out among these sources due its abundance global accessibility. However, weather-dependent cyclical nature add inherent risks, making effective planning management difficult. Soft computing technologies provide attractive solutions for modeling such systems, while machine learning optimization techniques are gaining popularity solar industry. The current literature highlights growing use soft technologies, emphasizing their potential address difficult challenges systems. To effectively reap benefits, strategies must be seamlessly connected with emerging like Internet Things (IoT), big data analytics, cloud computing. This integration provides a unique opportunity improve scalability, flexibility, efficiency Researchers can synergies create intelligent, linked ecosystems capable real-time production, delivery, consumption. These have transform renewable environment, allowing more resilient sustainable infrastructures. Furthermore, as improve, there is demand trained experts associated cybersecurity problems, assuring integrity security sophisticated may pave road energy-efficient future by working collaboratively using interdisciplinary methodologies.

Language: Английский

Citations

3
Machine learning forecast of surface solar irradiance from meteo satellite data DOI Creative Commons
Alessandro Sebastianelli, Federico Serva, Andrea Ceschini

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 315, P. 114431 - 114431

Published: Sept. 25, 2024

Language: Английский

Citations

3
Modeling and optimization of renewable hydrogen systems: A systematic methodological review and machine learning integration DOI Creative Commons
Mulako Dean Mukelabai, Edward Barbour,

Robert E. Blanchard

et al.

Energy and AI, Journal Year: 2024, Volume and Issue: unknown, P. 100455 - 100455

Published: Nov. 1, 2024

Language: Английский

Citations

3
A satellite-based novel method to forecast short-term (10 min − 4 h) solar radiation by combining satellite-based cloud transmittance forecast and physical clear-sky radiation model DOI
Bing Hu, Huaiyong Shao,

Changkun Shao

et al.

Solar Energy, Journal Year: 2025, Volume and Issue: 290, P. 113376 - 113376

Published: Feb. 23, 2025

Language: Английский

Citations

0