Christoph Bergmeir

Universidad de Granada — Spain

Decision Sciences · Social Sciences

30h-index7.6kcitations426works3.62yr avg
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Research Topics

Forecasting Techniques and Applications(54), Time Series Analysis and Forecasting(53), Stock Market Forecasting Methods(52), Energy Load and Power Forecasting(42), Machine Learning in Healthcare(23)

Publications425 total

Context-driven cold-start Web traffic forecasting
World Wide Web·2025Open Access
Extending Load Forecasting from Zonal Aggregates to Individual Nodes for Transmission System Operators
arXiv (Cornell University)·2025Open Access
MoTime: A Dataset Suite for Multimodal Time Series Forecasting
arXiv (Cornell University)·2025Open Access
DeepHGNN: Study of graph neural network based forecasting methods for hierarchically related multivariate time series
Expert Systems with Applications·2025· 3 citedOpen Access
Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model
Statistics and Computing·2025Open Access
On forecast stability
International Journal of Forecasting·2025· 3 citedOpen Access
Predict+Optimize Problem in Renewable Energy Scheduling
IEEE Access·2025· 9 citedOpen Access
Extending Load Forecasting from Zonal Aggregates to Individual Nodes for Transmission System Operators
SSRN Electronic Journal·2025Open Access
MSTL: a seasonal-trend decomposition algorithm for time series with multiple seasonal patterns
International Journal of Operational Research·2025· 26 cited
Creating a Cooperative AI Policymaking Platform through Open Source Collaboration
arXiv (Cornell University)·2024· 1 citedOpen Access
Scalable probabilistic forecasting in retail with gradient boosted trees: A practitioner’s approach
International Journal of Production Economics·2024· 2 citedOpen Access
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
2024· 14 citedOpen Access
Balancing Forecast Accuracy and Switching Costs in Online Optimization of Energy Management Systems
arXiv (Cornell University)·2024Open Access
Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model
arXiv (Cornell University)·2024Open Access
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series
arXiv (Cornell University)·2024Open Access
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting
arXiv (Cornell University)·2024· 1 citedOpen Access
Local and global trend Bayesian exponential smoothing models
International Journal of Forecasting·2024· 8 citedOpen Access
Deep Active Audio Feature Learning in Resource-Constrained Environments
IEEE/ACM Transactions on Audio Speech and Language Processing·2024· 5 cited
Bridging High-Voltage and Medium-Voltage Electricity Demand Forecasting
SSRN Electronic Journal·2024Open Access
Counterfactual Predictions in Shared Markets: A Global Forecasting Approach with Deep Learning and Spillover Considerations
SSRN Electronic Journal·2024Open Access
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Frequent Co-authors

José M. Benítez(17), Kasun Bandara(9), Rob J. Hyndman(9), Geoffrey I. Webb(5), Hansika Hewamalage(4), Fotios Petropoulos(4), Francisco Herrera(4), Lala Septem Riza(3), David Pilcher(3), Slawek Smyl(3), Isaac Triguero(3), George Athanasopoulos(2), Gabriel A. Caceres(2), Leanne Chhay(2), Mitchell O’Hara-Wild(2), Slava Razbash(2), Earo Wang(2), Farah Yasmeen(2), Bonsoo Koo(2), Chang Wei Tan(2)