Predictability and forecast skill of solar irradiance over the contiguous United States
Current solar forecast verification processes place much attention on performance
comparison of a group of competing methods. However, forecast verification ought to further …
comparison of a group of competing methods. However, forecast verification ought to further …
Performance analysis of a solar based novel trigeneration system using cascaded vapor absorption-compression refrigeration system
Y Khan, RS Mishra - International Journal of Refrigeration, 2023 - Elsevier
Solar power tower technique has a strong potential among several solar systems for large-
scale power generation. It is crucial to make new, efficient trigeneration unit for solar power …
scale power generation. It is crucial to make new, efficient trigeneration unit for solar power …
Non-crossing quantile regression neural network as a calibration tool for ensemble weather forecasts
Despite the maturity of ensemble numerical weather prediction (NWP), the resulting
forecasts are still, more often than not, under-dispersed. As such, forecast calibration tools …
forecasts are still, more often than not, under-dispersed. As such, forecast calibration tools …
Prediction of solar irradiance using convolutional neural network and attention mechanism-based long short-term memory network based on similar day analysis and …
X Hou, C Ju, B Wang - Heliyon, 2023 - cell.com
As one of the future's most promising clean energy sources, solar energy is the key to
developing renewable energy. The randomness of solar irradiance can affect the efficiency …
developing renewable energy. The randomness of solar irradiance can affect the efficiency …
Comparison of model output statistics and neural networks to postprocess wind gusts
Wind gust prediction plays an important role in warning strategies of national meteorological
services due to the high impact of its extreme values. However, forecasting wind gusts is …
services due to the high impact of its extreme values. However, forecasting wind gusts is …
Uncertainty quantification for data-driven weather models
Artificial intelligence (AI)-based data-driven weather forecasting models have experienced
rapid progress over the last years. Recent studies, with models trained on reanalysis data …
rapid progress over the last years. Recent studies, with models trained on reanalysis data …
Decompositions of the mean continuous ranked probability score
The continuous ranked probability score (crps) is the most commonly used scoring rule in
the evaluation of probabilistic forecasts for real-valued outcomes. To assess and rank …
the evaluation of probabilistic forecasts for real-valued outcomes. To assess and rank …
[HTML][HTML] The added value of combining solar irradiance data and forecasts: A probabilistic benchmarking exercise
Despite the growing awareness in academia and industry of the importance of solar
probabilistic forecasting for further enhancing the integration of variable photovoltaic power …
probabilistic forecasting for further enhancing the integration of variable photovoltaic power …
Probabilistic Solar Forecasts as a Binary Event Using a Sky Camera
M David, J Alonso-Montesinos, J Le Gal La Salle… - Energies, 2023 - mdpi.com
With the fast increase of solar energy plants, a high-quality short-term forecast is required to
smoothly integrate their production in the electricity grids. Usually, forecasting systems …
smoothly integrate their production in the electricity grids. Usually, forecasting systems …
[HTML][HTML] Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression
Operational decisions relying on predictive distributions of electricity prices can result in
significantly higher profits compared to those based solely on point forecasts. However, the …
significantly higher profits compared to those based solely on point forecasts. However, the …