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2022

  • Blum NB, Wilbert S, Nouri B, Stührenberg J, Lezaca Galeano JE, Schmidt T, Heinemann D, Vogt T, Kazantzidis A, Pitz-Paal R. Analyzing Spatial Variations of Cloud Attenuation by a Network of All-Sky Imagers. Remote Sensing. 2022; 14(22):5685. https://doi.org/10.3390/rs14225685.
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  • Y. Chen, M. Sun, Z. Chu, S. Camal, G. Kariniotakis, et al.. Vulnerability and Impact of Machine Learning-based Inertia Forecasting Under Cost-Oriented Data Integrity Attack. IEEE Transactions on Smart Grid, Institute of Electrical and Electronics Engineers, 2022, pp.11 ⟨10.1109/TSG.2022.3207517⟩.
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  • S. Camal, A. Michiorri, G. Kariniotakis. Reliable Provision of Ancillary Services from Aggregated Variable Renewable Energy Sources through Forecasting of Extreme Quantiles. IEEE Transactions on Power Systems, Institute of Electrical and Electronics Engineers, 2022, pp.1-15. ⟨10.1109/TPWRS.2022.3198839⟩.
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  • D. van der Meer, H. Valizadeh Haghi, J. Kleissl, J. Widén. Data-Enabled Reactive Power Control of Distributed Energy Resources via a Copula Estimation of Distribution Algorithm. 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022., June 2022, Manchester, United Kingdom. doi:10.1109/PMAPS53380.2022.9810636
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  • D. van der Meer, S. Camal,  G. Kariniotakis. Seamless Intra-Day and Day-Ahead Multivariate Probabilistic Forecasts At High Temporal Resolution, 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, 12-15 June 2022, Online. doi:10.1109/PMAPS53380.2022.9810606
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  • A. Stratigakos, D. van der Meer, S. Camal, G. Kariniotakis. End-To-End Learning For Hierarchical Forecasting of Renewable Energy Production With Missing Values, 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, 12-15 June 2022, Online. doi:10.1109/PMAPS53380.2022.9810610
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  • D. van der Meer, S. Camal,  G. Kariniotakis. Generalizing Renewable Energy Forecasting Using Automatic Feature Selection and Combination, 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, 12-15 June 2022, Online. doi:10.1109/PMAPS53380.2022.9810647
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  • A. Stratigakos, S. Camal, A. Michiorri, G. Kariniotakis. Prescriptive Trees for Value-oriented Forecasting and Optimization: Applications on Storage Scheduling and Market Clearing. IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2022.3152667.< hal-03363876f>
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  • L.Han, P. Pinson, J. Kazempour. Trading Data for Wind Power Forecasting: A Regression Market with Lasso Regularization. In Press. Electric Power Systems Research.
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  • P. Pinson, L. Han, J. Kazempour. Regression markets and application to energy forecasting. TOP (2022). https://doi.org/10.1007/s11750-022-00631-7
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  • N. Blum, S. Wilbert, B. Nouri, J. Lezaca, D. Huckebrink, A. Kazantzidis, D. Heinemann, L. Zarzalejo, M. Jiménez, R.Pitz-Paal. Measurement of diffuse and plane of array irradiance by a combination of a pyranometer and an all-sky imager.  Solar Energy 2022. https://doi.org/10.1016/j.solener.2021.11.064
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  • Fabel, Y., Nouri, B., Wilbert, S., Blum, N., Triebel, R., Hasenbalg, M., Pascal, K., Luis,  Z., & Pitz-Paal, R. Applying self-supervised learning for semantic cloud segmentation of all-sky images. Atmos. Meas. Tech. Discuss, 2022. https://doi.org/10.5194/amt-15-797-2022
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2021

  • Agoua XG, Girard R, Kariniotakis G. Photovoltaic Power Forecasting: Assessment of the Impact of Multiple Sources of Spatio-Temporal Data on Forecast Accuracy. Energies. 2021; 14(5):1432. https://doi.org/10.3390/en14051432
  • Dennis van der Meer. A benchmark for multivariate probabilistic solar irradiance forecasts. Solar Energy, vol. 225, pp286-296. https://doi.org/10.1016/j.solener.2021.07.010.
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  •  E. Jahangir, Q. Libois, F. Couveux, B. Vié, D. Saint-Martin. Uncertainty of shortwave cloud radiative impact due to the parameterization of liquid cloud optical properties. JAMES. 2021. https://doi.org/10.1029/2021MS002742
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  • Jack FoxErik ElaBen HobbsJustin SharpJosh NovacheckAmber MotleyRicardo J. BessaPierre PinsonGeorges Kariniotakis Forecasting and Market Design Advances: Supporting an Increasing Share of Renewable Energy, in IEEE Power and Energy Magazine, vol. 19, no. 6, pp. 77-85, Nov.-Dec. 2021, doi: 10.1109/MPE.2021.3104132.
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  • George Kariniotakis, Simon Camal, Fabrizio Sossan, Bijan Nouri, Jorge Lezaca, Matthias Lange, Bastien Alonzo, Quentin Libois, Pierre Pinson, Ricardo Bessa, Carla Goncalves. Data Science for Next Generation Renewable Energy Forecasting – Highlight Results from the Smart4RES Project. Solar Integration Workshop, September 2021, Berlin, Germany.
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  • Simon Camal, George Kariniotakis, Fabrizio Sossan, Quentin Libois, Raphael Legrand, Laure Raynaud, Matthias Lange, Annah Mehrens, Pierre Pinson,Amandine Pierrot, Gregor Giebel, Tufhe Göcmen, Ricardo Bessa, Jose Gouveia, Luis Teixeira, Alexandre Neto, Ricardo Manuel Santos, Gisela Mendes, Bijan Nouri ,Jorge Lezaca, Remco Verziljbergh, Gerrit Deen, George Sideratos, Christos Vitellas, Ganesh Sauba, Marcel Eijgelaar, Stéphanie Petit. Smart4RES: Next generation solutions for renewable energy forecasting and its applications for power distribution grids. CIRED 2021 Conference, September 2021, Geneva, Switzerland.
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  • Bijan Nouri, Niklas Blum, Stefan Wilbert, Luis F. Zarzalejo. A hybrid solar irradiance nowcasting approach: combining all-sky imager systems and persistence irradiance models for increased accuracy. Solar RRL, 2021.
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  • Akylas Stratigakos, Andrea Michiorri, Georges Kariniotakis. A Value-Oriented Price Forecasting Approach to Optimize Trading of Renewable Generation. 2021 IEEE Madrid PowerTech, IEEE, Jun 2021, Madrid, Spain. ⟨hal-03208575⟩
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  • Amandine Pierrot and Pierre Pinson. Adaptive Generalized Logit-Normal Distributions for Wind Power Short-Term Forecasting. 2021 IEEE Madrid PowerTech, IEEE, Jun 2021, Madrid, Spain. eprint 2012.08910.
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  • Blum, N. B., Nouri, B., Wilbert, S., Schmidt, T., Lünsdorf, O., Stührenberg, J., Heinemann, D., Kazantzidis, A., and Pitz-Paal, R. Cloud height measurement by a network of all-sky-imagers, Atmos. Meas. Tech. Discuss., 2021. https://doi.org/10.5194/amt-14-5199-2021
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  • Carla Gonçalves, Laura Cavalcante, Margarida Brito, Ricardo J. Bessa, João Gama. Forecasting Conditional Extreme Quantiles for Wind Energy, Electric Power Systems Research, 2021.
    Part of the Special Issue Proceedings of the 21st Power Systems Computation Conference (PSCC 2020).
    Published paper: https://doi.org/10.1016/j.epsr.2020.106636
  • Chiara Di Modica, Pierre Pinson, Souhaib Ben Taieb. Online forecast reconciliation in wind power prediction, Electric Power Systems Research, 2021.
    Part of the Special Issue Proceedings of the 21st Power Systems Computation Conference (PSCC 2020).
    Published paper: https://doi.org/10.1016/j.epsr.2020.106637