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Papers matching “probabilistic forecasting” 47

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Probabilistic Forecasting of PV Power Using Artificial Neural Networks with Confidence Intervals
2024 conference-paper Engineering Energy Load and Power Forecasting

Saloni Dhingra, Giambattista Gruosso, Giancarlo Storti Gajani

3

citations
ProLoaF: Probabilistic load forecasting for power systems
2023 SoftwareX software-paper Engineering Energy Load and Power Forecasting Open access

Gonca Gürses-Tran, Antonello Monti

2

citations
Probabilistic Load Forecasting for Day-Ahead Congestion Mitigation
2020 conference-paper Engineering Energy Load and Power Forecasting Open access

Gonca Gürses-Tran, Hendrik Flamme, Antonello Monti

9

citations
OrderFusion: Encoding orderbook for end-to-end probabilistic intraday electricity price forecasting
2026 Advanced Engineering Informatics article Engineering Energy Load and Power Forecasting Open access

Jochen Stiasny, Jochen Cremer

0

citations
Systematic Evaluation of TabPFN-TS for Zero-Shot Probabilistic Heat Load Forecasting in District Heating Networks
2026 Zenodo (CERN European Organization for Nuclear Research) software Open access

Ben Spoek, Karim Ben Hicham, K Derzsi, Philipp Althaus, Alexander Mitsos, Dirk Müller

0

citations
Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows
2022 RWTH Publications (RWTH Aachen) article Engineering Energy Load and Power Forecasting Open access

Eike Cramer, Dirk Witthaut, Alexander Mitsos, Manuel Dahmen

5

citations
Using Deep-Learning based Probabilistic Forecasting for Multi-Use Operation of Battery Energy Storage Systems
2025 conference-paper Engineering Energy Load and Power Forecasting

Steffen Kortmann, Corvin Starkulla, Andreas Ulbig

1

citations
Multivariate probabilistic forecasting of intraday electricity prices using normalizing flows
2023 Applied Energy article Engineering Energy Load and Power Forecasting

Eike Cramer, Dirk Witthaut, Alexander Mitsos, Manuel Dahmen

56

citations
Probabilistic time series forecasts with autoregressive transformation models
2023 Statistics and Computing article Decision Sciences Forecasting Techniques and Applications Open access

David Rügamer, Philipp F. M. Baumann, Thomas Kneib, Torsten Hothorn

5

citations
Crossing-Free Probabilistic K-Line Forecasts Without Retraining
2026 arXiv (Cornell University) preprint Decision Sciences Forecasting Techniques and Applications Open access

Runyao Yu, Yuchen Tao, Yujie Chen, Wentao Wang, Derek W. Bunn

0

citations
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets
2026 arXiv (Cornell University) preprint Engineering Energy Load and Power Forecasting Open access

Runyao Yu, Derek W. Bunn, Julia Lin, Jochen Stiasny, Tara Esterl, Yuchen Tao, +4 more

0

citations
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets
2026 arXiv (Cornell University) preprint Engineering Energy Load and Power Forecasting Open access

Runyao Yu, Derek W. Bunn, Julia Lin, Jochen Stiasny, Fabian Leimgruber, Tara Esterl, +5 more

0

citations
Probabilistic Prediction of the Area Control Error Using Normalizing Flows
2025 ACM SIGEnergy Energy Informatics Review article Engineering Energy Load and Power Forecasting

Eike Cramer

0

citations
A Hybrid CART-Gaussian Process Framework for Day-Ahead Electricity Load Forecasting with Uncertainty Quantification
2025 conference-paper Engineering Energy Load and Power Forecasting

Ei Thu Thu Tun, Chawalit Jeenanunta, Pyae Pyae Phyo, Kamal Chapagain

0

citations
Probabilistic prediction of rock avalanche runout using a numerical model
2022 Landslides article Environmental Science Landslides and related hazards Open access

Jordan Aaron, Scott McDougall, Julia Kowalski, A. Mitchell, Natalia Nolde

27

citations
Data-driven uncertainty quantification for constrained stochastic differential equations and application to solar photovoltaic power forecast data
2025 Statistics and Computing article Decision Sciences Probabilistic and Robust Engineering Design Open access

Khaoula Ben Chaabane, Ahmed Kebaier, Marco Scavino, Raul F. Tempone

3

citations
Systematic Evaluation of TabPFN-TS and Chronos-2 for Zero-Shot Heat Load Forecasting in District Heating Networks
2026 arXiv (Cornell University) preprint Engineering Integrated Energy Systems Optimization Open access

Ben Spoek, Karim Ben Hicham, K Derzsi, Philipp Althaus, Alexander Mitsos, Dirk Müller

0

citations
Probabilistic machine learning for pattern recognition and design exploration
2021 RWTH Publications (RWTH Aachen) dissertation Engineering Manufacturing Process and Optimization Open access

Kevin Cremanns

3

citations
A review of probabilistic resource adequacy assessments in power systems: Methods, applications, and future challenges
2025 Energy Policy article Engineering Power System Optimization and Stability Open access

Marius Tillmanns, J. Schöttler, Aaron Praktiknjo

10

citations
Flowy: High performance probabilistic lava emplacement prediction
2024 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access

Moritz Sallermann, Amrita Goswami, Alejandro Peña-Torres, Rohit R. Goswami

0

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
Hybrid Deep Learning-Based Networks for Deterministic and Probabilistic Wind Nowcasting Within a Wake Vortex Warning System for Vertiport Operations
2026 Meteorological Applications article Earth and Planetary Sciences Meteorological Phenomena and Simulations Open access

Sooseok Lee, Frank N. Holzäpfel, Anton Stephan, Dieter Moormann

0

citations
Uplifting the complexity of analysis for probabilistic security of electricity supply assessments using artificial neural networks
2024 Energy and AI article Engineering Energy Load and Power Forecasting Open access

Justin Münch, Jan Priesmann, Marius Reich, Marius Tillmanns, Aaron Praktiknjo, Mario Adam

4

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
Probabilistic fatigue life prediction in additive manufacturing materials with a physics-informed neural network framework
2025 Expert Systems with Applications article Engineering Additive Manufacturing Materials and Processes

Tao Zhu, Bing Yang, Zhe Zhang, Shuwei Zhou, Shoune Xiao

35

citations