Probabilistic solar nowcasting based on all-sky imagers-Reference-Cited by-同舟云学术

Probabilistic solar nowcasting based on all-sky imagers

Published:2023-03 Issue: Volume:253 Page:285-307
ISSN:0038-092X
Container-title:Solar Energy
language:en
Short-container-title:Solar Energy

Author:

Nouri Bijan^ORCID,Wilbert Stefan,Blum Niklas^ORCID,Fabel Yann^ORCID,Lorenz Elke,Hammer Annette,Schmidt Thomas,Zarzalejo Luis F.^ORCID,Pitz-Paal Robert

Publisher

Elsevier BV

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment

Reference55 articles.

1. An analog ensemble for short-term probabilistic solar power forecast;Alessandrini;Applied energy,2015

2. Intra-day solar probabilistic forecasts including local short-term variability and satellite information;Alonso-Suárez;Renewable Energy,2020

3. Analyzing spatial variations of cloud attenuation by a network of all-sky imagers;Blum;Remote Sensing,2022

4. Very short-term solar irradiance forecast using all-sky imaging and real-time irradiance measurements;Caldas;Renewable Energy,2019

5. The potential of forecasting in reducing the LCOE in PV plants under ramp-rate restrictions;Cirés;Energy,2019

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1. Estimating multidirectional cloud movements from single sky camera using directional statistics;Solar Energy;2024-09

2. Probabilistic forecasting of regional solar power incorporating weather pattern diversity;Energy Reports;2024-06

3. Intra-hour solar irradiance forecasting using topology data analysis and physics-driven deep learning;Renewable Energy;2024-04

4. Combining Deep Learning and Physical Models: A Benchmark Study on All‐Sky Imager‐Based Solar Nowcasting Systems;Solar RRL;2024-01-21

5. Probabilistic end-to-end irradiance forecasting through pre-trained deep learning models using all-sky-images;Advances in Science and Research;2024-01-02