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Ana Dodig

University of Belgrade

SCHOLARLY PAPERS

4

DOWNLOADS

232

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Enhancement of Hydrological Time Series Prediction with Real-World Time Series Generative Adversarial Network-Based Synthetic Data and Deep Learning Models

Downloads 154 (488,442)

Enhancement of Hydrological Time Series Prediction with Real-World Time Series Generative Adversarial Network-Based Synthetic Data and Deep Learning Models

Number of pages: 38 Posted: 19 Jun 2025
Ana Dodig, Vladimir Stankovic, Lina Stankovic and Milan Stojkovic
University of Belgrade, University of Strathclyde, University of Strathclyde and affiliation not provided to SSRN
Downloads 57 (1,006,630)

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Time series data generation, Generative adversarial network, Graph neural networks, Long short-term memory, River water quality, Multi-step forecasting

Enhancement of Hydrological Time Series Prediction with Real-World Time Series Generative Adversarial Network-Based Synthetic Data and Deep Learning Models

Number of pages: 34 Posted: 15 Nov 2024
Ana Dodig, Vladimir Stankovic, Lina Stankovic and Milan Stojkovic
University of Belgrade, University of Strathclyde, University of Strathclyde and affiliation not provided to SSRN
Downloads 56 (1,017,159)

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Time series data generation, Generative Adversarial Network, Graph neural networks, long short-term memory, River Water Quality, Multi-step forecasting

Enhancement of Hydrological Time Series Prediction with Real-World Time Series Generative Adversarial Network-Based Synthetic Data and Deep Learning Models

Number of pages: 44 Posted: 08 May 2025
Ana Dodig, Vladimir Stankovic, Lina Stankovic and Milan Stojkovic
University of Belgrade, University of Strathclyde, University of Strathclyde and affiliation not provided to SSRN
Downloads 41 (1,224,220)

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Time series data generation, Generative adversarial network, Graph neural networks, Long Short-Term Memory, River water quality, Multi-step forecasting

2.

Personal Comfort Centered Control with Random Forests and Deep Reinforcement Learning

Number of pages: 22 Posted: 06 Sep 2025
Ana Dodig, Bratislav Svetozarevic, Zoltan Nagy, Predrag Tadic and Philipp Heer
University of Belgrade, affiliation not provided to SSRN, University of Texas at Austin, University of Belgrade and Swiss Federal Laboratories for Material Science and Technology (EMPA)
Downloads 47 (1,097,529)

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Occupant centered control, Random Forest, Neural Networks, Energy efficiency, Deep Reinforcement Learning

3.

Exploring uncertainties across the modelling chain in machine-learning-based streamflow forecasting

Number of pages: 24 Posted: 09 May 2026 Last Revised: 26 May 2026
Luka Vinokić, Milan Dotlić, Ana Dodig, Veljko Prodanovic, Slobodan Kolaković and Milan Stojkovic
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Belgrade, University of New South Wales (UNSW) - School of Civil and Environmental Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 18 (1,491,251)

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uncertainty quantification, ensemble forecasting, river flow, Deep Learning, numerical weather prediction, hyperparameter optimization

4.

Improved Spatio-Temporal Streamflow Forecasting with Temporal Encoder Enhanced Graph Transformer Network

Number of pages: 44 Posted: 15 Apr 2026
Ana Dodig, Milan Stojkovic, Milan Dotlić, Luka Vinokić, Zoran Kapelan and Veljko Prodanovic
University of Belgrade, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and University of New South Wales (UNSW) - School of Civil and Environmental Engineering
Downloads 13 (1,518,554)

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Deep learning, Temporal Convolutional Network, Heterogeneous Graph, Streamflow prediction, Quantile loss