Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy

Autor: Bergmeir, Christoph, de Nijs, Frits, Sriramulu, Abishek, Abolghasemi, Mahdi, Bean, Richard, Betts, John, Bui, Quang, Dinh, Nam Trong, Einecke, Nils, Esmaeilbeigi, Rasul, Ferraro, Scott, Galketiya, Priya, Genov, Evgenii, Glasgow, Robert, Godahewa, Rakshitha, Kang, Yanfei, Limmer, Steffen, Magdalena, Luis, Montero-Manso, Pablo, Peralta, Daniel, Kumar, Yogesh Pipada Sunil, Rosales-Pérez, Alejandro, Ruddick, Julian, Stratigakos, Akylas, Stuckey, Peter, Tack, Guido, Triguero, Isaac, Yuan, Rui

Algorithms that involve both forecasting and optimization are at the core of solutions to many difficult real-world problems, such as in supply chains (inventory optimization), traffic, and in the transition towards carbon-free energy generation in b

Externí odkaz: http://arxiv.org/abs/2212.10723

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Resilient Feature-driven Trading of Renewable Energy with Missing Data

Autor: Kühnau, Matias, Stratigakos, Akylas, Camal, Simon, Chevalier, Samuel, Kariniotakis, Georges

Advanced data-driven methods can facilitate the participation of renewable energy sources in competitive electricity markets by leveraging available contextual information, such as weather and market conditions. However, the underpinning assumption i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3379::3f14fa42f533dd8dc1435a926c590660
https://hal.science/hal-04104548

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Highlight results of the Smart4RES project on weather modelling and forecasting dedicated to renewable energy applications

Autor: Kariniotakis, Georges, Camal, Simon, Meer, Dennis van Der, Stratigakos, Akylas, Giebel, Gregor, Göçmen, Tuhfe, Pinson, Pierre, Bessa, Ricardo, Goncalves, Carla, Aleksovska, Ivana, Alonzo, Bastien, Cassas, Marie, Libois, Quentin, Raynaud, Laure, Deen, Gerrit, Houf, Daan, Verzijlbergh, Remco, Lange, Matthias, Witha, Björn, Lezaca, Jorge, Nouri, Bijan, Wilbert, Stefan, Marques, Maria Ines, Silva, Manuel, Boer, Wouter De, Eijgelaar, Marcel, Sauba, Ganesh, Karakitsios, John, Konstantinou, Theodoros, Lagos, Dimitrios, Sideratos, George, Anastopoulou, Theodora, Korka, Efrosini, Vitellas, Christos, Petit, Stephanie

Publikováno v: Smart4RES team, Kariniotakis, G & Camal, S 2022, ' Highlight results of the Smart4RES project on weather modelling and forecasting dedicated to renewable energy applications ', EGU General Assembly 2022, Vienna, Austria, 23/05/2022-27/05/2022 . https://doi.org/10.5194/egusphere-egu22-12923
EGU General Assembly 2022
EGU General Assembly 2022, May 2022, Vienna, Austria. pp.EGU22-12923, ⟨10.5194/egusphere-egu22-12923⟩

In this presentation we detail highlight results obtained from the research work within the European Horizon 2020 project Smart4RES (http://www.smart4res.eu). The project, which started in 2019 and runs until 2023, aims at a better modelling and fore

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebcde7b847cad9e2412032525dcaa1fc
https://orbit.dtu.dk/en/publications/36fb02e8-d4e0-4910-8e95-27ffb75339ab