Results 51 to 60 of about 1,108 (256)
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Holistic and Lightweight Approach for Solar Irradiance Forecasting
The introduction of solar power in energy grids is crucial for sustainable progress, but gets restricted due to frequently fluctuating electricity outputs generated by intermittent solar irradiance. The problem requires proper power planning and operations management that requires accurate and reliable solar irradiance forecasts.
Mayank Jain +2 more
openaire +2 more sources
A Deep Learning Approach to Solar-Irradiance Forecasting in Sky-Videos [PDF]
9 pages, 6 ...
Talha Ahmad Siddiqui +2 more
openaire +2 more sources
Photocatalytic Water Splitting on the Lunar Surface: Prospects for In Situ Resource Utilization
Water has been found in craters on the moon nearby locations which are illuminated >80% of the time. Photocatalysis uses energy from sunlight to drive chemical reactions such as water splitting to produce oxygen and hydrogen. It is a scalable technology that requires lighter equipment and utilizes resources available on the moon. ABSTRACT The discovery
Ranjani Kalyan +6 more
wiley +1 more source
Very short-term solar forecasts are gaining interest for their application on real-time control of photovoltaic systems. These forecasts are intimately related to the cloud motion that produce variations of the irradiance field on scales of seconds and ...
Manuel Jesús Espinosa-Gavira +4 more
doaj +1 more source
Solar GHI Ensemble Prediction Based on a Meteorological Model and Method Kalman Filter
The intensity of light emanating from sun is determined by using a meteorological version and is altered with the numerical version, and the forecast accuracy is improved in advance by using Kalman Filter. As the accuracy of the version output related to
Yuanyuan Liu
doaj +1 more source
Probabilistic solar irradiance forecasting based on XGBoost
Solar energy has received increasing attention as renewable clean energy in recent years. Power grid operators and researchers widely value probabilistic solar irradiance forecasting because it can provide uncertainty measurement for future PV production.
Xianglong Li +9 more
openaire +2 more sources
1D and 3D nanoporous anodic aluminum oxide (AAO) surfaces were functionalized with stearic acid (STA) to increase hydrophobicity and reduce the influence of humidity on radiative cooling performance. The STA coating improves cooling behavior under humid atmospheric conditions (Madrid summer), before while keeping the optical properties required for ...
Luis Moreno‐Sanabria +4 more
wiley +1 more source
Fuel‐free Cu2O‐based micromotors functionalized with β‐cyclodextrin actively remove bisphenol A from water under visible light. The cyclodextrin shell captures BPA and enhances micromotor motility, leading to faster degradation and higher overall removal than nonfunctionalized Cu2O and Cu2O@Au.
Luisa Natalia Cordoba Urresti +3 more
wiley +1 more source
Shadow-camera based solar nowcasting system for shortest-term forecasts
The rapid growth of solar power generation and the variable nature of the solar resource pose challenges for our electricity grids. Forecasting future changes in the irradiance might help to cost-efficiently manage this variability both for photovoltaic ...
Pascal Kuhn +12 more
doaj +1 more source

