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Papers matching “probabilistic forecasting” 10

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Probabilistic Forecasting of PV Power Using Artificial Neural Networks with Confidence Intervals
2024 Proceedings of the Annual Conference of the IEEE Industrial Electronics Society conference-paper Computer Science Solar Radiation and Photovoltaics

Saloni Dhingra, Giambattista Gruosso, Giancarlo Storti Gajani

3

citations
Probabilistic machine learning for pattern recognition and design exploration
2021 RWTH Publications (RWTH Aachen) dissertation Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Cremanns

3

citations
Probabilistic solar nowcasting based on all-sky imagers
2023 Solar Energy article Computer Science Solar Radiation and Photovoltaics

Bijan Nouri, Stefan Wilbert, Niklas Benedikt Blum, Yann Fabel, Elke Lorenz, Annette Hammer, +3 more

26

citations
Leveraging Generative Models for ASI-based Solar Nowcasting
2024 conference-abstract Computer Science Solar Radiation and Photovoltaics Open access

Yann Fabel, Dominik Schnaus, Stefan Wilbert, Niklas Benedikt Blum, Luis Fernando Zarzalejo, Julia Kowalski, +1 more

0

citations
Combining Deep Learning and Physical Models: A Benchmark Study on All‐Sky Imager‐Based Solar Nowcasting Systems
2023 Solar RRL article Computer Science Solar Radiation and Photovoltaics Open access

Yann Fabel, Bijan Nouri, Stefan Wilbert, Niklas Benedikt Blum, Dominik Schnaus, Rudolph Triebel, +4 more

20

citations
Basics of machine learning
2025 Cambridge University Press eBooks book-chapter Computer Science Machine Learning and Algorithms

Borja Requena

0

citations
LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks
2023 Lecture notes in computer science conference-paper Computer Science Machine Learning and Data Classification

Felix Mohr, Tom Julian Viering, Marco Loog, Jan N. van Rijn

10

citations
Residual bayesian attention networks for uncertainty quantification in regression tasks
2025 Scientific Reports article Computer Science Gaussian Processes and Bayesian Inference Open access

Youliang Chen, Wencan Guan, Rafig Azzam

10

citations
KernelMatmul: Scaling Gaussian Processes to Large Time Series
2025 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek

0

citations
Analyzing Spatial Variations of Cloud Attenuation by a Network of All-Sky Imagers
2022 Remote Sensing article Computer Science Solar Radiation and Photovoltaics Open access

Niklas Benedikt Blum, Stefan Wilbert, Bijan Nouri, Jonas Stührenberg, Jorge Enrique Lezaca Galeano, Thomas Schmidt, +3 more

16

citations

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