Download Smart4RES publications and other scientific communications
2023
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A. Pierrot, P. Pinson. Data is missing again – Reconstruction of power generation data using k-nearest neighbours and spectral graph theory. Wind Energy, under review.
A. Pierrot, P. Pinson. On tracking varying bounds when forecasting bounded time series. Technometrics, under review.
R.J. Bessa, F. Moaidi, J. Viana, J.R. Andrade. Uncertainty-aware procurement of flexibilities for electrical grid operational planning. IEEE, under review.
K. Parginos, R.J. Bessa, S. Camal, G. Kariniotakis. Interpretable artificial intelligent evolved policies for renewable energy trading. IEEE, under review.
M-A. Magnaldo, Q. Libois, S. Riette, C. Lac. Evaluation of surface shortwave downward radiation forecasts by the numerical weather prediction model AROME. Geophysical Model Development, under review.
D. Lagos, N. Hatziargyriou. Comparison of Grid Forming and Grid Following Control of A Central Bes In A Island System Operating In High Res Penetration. PowerTech 2023 Download the preprint in Zenodo
M.A. Muñoz, P. Pinson, J. Kazempour. Online Decision Making for Trading Wind Energy. Computational Management Science. Accepted, 2023. Download the preprint in arXiv.
José Gouveia; Carlos L. Moreira; João A. Peças Lopes. Improving Dynamic Security in Islanded Power Systems: Quantification of Minimum Synchronous Inertia Considering Fault-Induced Frequency Deviations. Electricity. 2023 https://doi.org/10.3390/electricity4020008
A.A. Raja, P. Pinson, J. Kazempour, S. Grammatico. A market for trading forecasts: A wagering mechanism. International Journal of Forecasting. 2023. https://doi.org/10.1016/j.ijforecast.2023.01.007
Pierre Pinson. Distributionally Robust Trading Strategies for Renewable Energy Producers. IEEE Transactions on Energy Markets, Policy and Regulation. 2023. 10.1109/TEMPR.2023.3241232. Download the pre-print.
Akylas Stratigakos , Panagiotis Andrianesis , Andrea Michiorri , Georges Kariniotakis. Towards Resilient Energy Forecasting: A Robust Optimization Approach. IEEE Transactions on Smart Grid. 2023. 10.1109/TSG.2023.3272379 Download the article in HAL https://hal.science/hal-03792191
Theodoros Konstantinou, Nikos Hatziargyriou. Day-Ahead Parametric Probabilistic Forecasting of Wind and Solar Power Generation using Bounded Probability Distributions and Hybrid Neural Networks. IEEE Transactions on Sustainable Energy. 2023 https://ieeexplore.ieee.org/document/10109883
Lindberg O, Lingfors D, Arnqvist J, van der Meer D, Munkhammar J. Day-ahead probabilistic forecasting at a co-located wind and solar power park in Sweden: Trading and forecast verification. Advances in Applied Energy. 2023 https://doi.org/10.1016/j.adapen.2022.100120. Download the pre-proof.
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. Download the article.
Â. Frimane, J. Munkhammar, D. van der Meer. Infinite hidden Markov model for short-term solar irradiance forecasting. Solar Energy, Volume 244, 2022, pp 331-342. https://doi.org/10.1016/j.solener.2022.08.041.
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⟩. Download the conference paper in HAL
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⟩. Download the conference paper in HAL
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 Download the conference paper in HAL
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 Download the conference paper in HAL
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 Download the conference paper in HAL
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 Download the conference paper in HAL
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> Download the preprint in HAL
L.Han, P. Pinson, J. Kazempour. Trading Data for Wind Power Forecasting: A Regression Market with Lasso Regularization. In Press. Electric Power Systems Research. Download the preprint in arXiv
P. Pinson, L. Han, J. Kazempour. Regression markets and application to energy forecasting. TOP (2022). https://doi.org/10.1007/s11750-022-00631-7 Download the article
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 Download the article
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 Download the article
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. Download the article
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 Download the article
Jack Fox; Erik Ela; Ben Hobbs; Justin Sharp; Josh Novacheck; Amber Motley; Ricardo J. Bessa; Pierre Pinson; Georges 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. Download the article
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. Download the article
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. Download the article
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. Download the article Download the article
C. Gonçalves, R.J. Bessa, P. Pinson. Privacy-preserving distributed learning for renewable energy forecasting. July 2021. IEEE Transactions on Sustainable Energy, vol. 12, no. 3, pp. 1777-1787. Published paper: 10.1109/TSTE.2021.3065117 Download the postprint in Zenodo
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⟩ Download the preprint in HAL
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. Download the e-print in arXiv
Liyang Han, Jalal Kazempour, Pierre Pinson. Monetizing Customer Load Data for an Energy Retailer: A Cooperative Game Approach. 2021 IEEE Madrid PowerTech, IEEE, Jun 2021, Madrid, Spain. eprint 2012.05519 Download the e-print in arXiv Download the presentation
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 Download the article
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
