IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v225y2018icp1054-1067.html
   My bibliography  Save this item

The ENTSO-E Transparency Platform – A review of Europe’s most ambitious electricity data platform

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Eva M. Urbano & Konstantinos Kampouropoulos & Luis Romeral, 2023. "Energy Crisis in Europe: The European Union’s Objectives and Countries’ Policy Trends—New Transition Paths?," Energies, MDPI, vol. 16(16), pages 1-23, August.
  2. Omoyele, Olalekan & Hoffmann, Maximilian & Koivisto, Matti & Larrañeta, Miguel & Weinand, Jann Michael & Linßen, Jochen & Stolten, Detlef, 2024. "Increasing the resolution of solar and wind time series for energy system modeling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
  3. Dynge, Marthe Fogstad & Berg, Kjersti & Bjarghov, Sigurd & Cali, Ümit, 2023. "Local electricity market pricing mechanisms’ impact on welfare distribution, privacy and transparency," Applied Energy, Elsevier, vol. 341(C).
  4. Saez, Yago & Mochon, Asuncion & Corona, Luis & Isasi, Pedro, 2019. "Integration in the European electricity market: A machine learning-based convergence analysis for the Central Western Europe region," Energy Policy, Elsevier, vol. 132(C), pages 549-566.
  5. Pedersen, Tim T. & Victoria, Marta & Rasmussen, Morten G. & Andresen, Gorm B., 2021. "Modeling all alternative solutions for highly renewable energy systems," Energy, Elsevier, vol. 234(C).
  6. Felten, Björn, 2020. "An integrated model of coupled heat and power sectors for large-scale energy system analyses," Applied Energy, Elsevier, vol. 266(C).
  7. Mahler, Valentin & Girard, Robin & Kariniotakis, Georges, 2022. "Data-driven structural modeling of electricity price dynamics," Energy Economics, Elsevier, vol. 107(C).
  8. Athanasios Ioannis Arvanitidis & Dimitrios Bargiotas & Aspassia Daskalopulu & Dimitrios Kontogiannis & Ioannis P. Panapakidis & Lefteri H. Tsoukalas, 2022. "Clustering Informed MLP Models for Fast and Accurate Short-Term Load Forecasting," Energies, MDPI, vol. 15(4), pages 1-14, February.
  9. Philipp Hauser & David Schönheit & Hendrik Scharf & Carl-Philipp Anke & Dominik Möst, 2021. "Covid-19’s Impact on European Power Sectors: An Econometric Analysis," Energies, MDPI, vol. 14(6), pages 1-17, March.
  10. Yan, Jie & Möhrlen, Corinna & Göçmen, Tuhfe & Kelly, Mark & Wessel, Arne & Giebel, Gregor, 2022. "Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
  11. Vassilis M. Charitopoulos & Mathilde Fajardy & Chi Kong Chyong & David M. Reiner, 2022. "The case of 100% electrification of domestic heat in Great Britain," Working Papers EPRG2206, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  12. Neirotti, Francesco & Noussan, Michel & Simonetti, Marco, 2020. "Towards the electrification of buildings heating - Real heat pumps electricity mixes based on high resolution operational profiles," Energy, Elsevier, vol. 195(C).
  13. Sebastian Lehnhoff & Philipp Staudt & Richard T. Watson, 2021. "Changing the Climate in Information Systems Research," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(3), pages 219-222, June.
  14. Viktorija Bobinaite & Marialaura Di Somma & Giorgio Graditi & Irina Oleinikova, 2019. "The Regulatory Framework for Market Transparency in Future Power Systems under the Web-of-Cells Concept," Energies, MDPI, vol. 12(5), pages 1-26, March.
  15. Pflugfelder, Yannik & Kramer, Hendrik & Weber, Christoph, 2024. "A novel approach to generate bias-corrected regional wind infeed timeseries based on reanalysis data," Applied Energy, Elsevier, vol. 361(C).
  16. Gabrielli, Paolo & Aboutalebi, Reyhaneh & Sansavini, Giovanni, 2022. "Mitigating financial risk of corporate power purchase agreements via portfolio optimization," Energy Economics, Elsevier, vol. 109(C).
  17. August Wierling & Valeria Jana Schwanitz & Sebnem Altinci & Maria Bałazińska & Michael J. Barber & Mehmet Efe Biresselioglu & Christopher Burger-Scheidlin & Massimo Celino & Muhittin Hakan Demir & Ric, 2021. "FAIR Metadata Standards for Low Carbon Energy Research—A Review of Practices and How to Advance," Energies, MDPI, vol. 14(20), pages 1-20, October.
  18. Halužan, Marko & Verbič, Miroslav & Zorić, Jelena, 2020. "Performance of alternative electricity price forecasting methods: Findings from the Greek and Hungarian power exchanges," Applied Energy, Elsevier, vol. 277(C).
  19. Erik Heilmann, 2021. "The impact of transparency policies on local flexibility markets in electrical distribution networks: A case study with artificial neural network forecasts," MAGKS Papers on Economics 202141, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  20. Lledó, Llorenç & Ramon, Jaume & Soret, Albert & Doblas-Reyes, Francisco-Javier, 2022. "Seasonal prediction of renewable energy generation in Europe based on four teleconnection indices," Renewable Energy, Elsevier, vol. 186(C), pages 420-430.
  21. Philip Beran & Arne Vogler, 2021. "Multi-Day-Ahead Electricity Price Forecasting: A Comparison of fundamental, econometric and hybrid Models," EWL Working Papers 2102, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Oct 2021.
  22. Kazmi, Hussain & Tao, Zhenmin, 2022. "How good are TSO load and renewable generation forecasts: Learning curves, challenges, and the road ahead," Applied Energy, Elsevier, vol. 323(C).
  23. Alexander Maedche & Edona Elshan & Hartmut Höhle & Christiane Lehrer & Jan Recker & Ali Sunyaev & Benjamin Sturm & Oliver Werth, 2024. "Open Science," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(4), pages 517-532, August.
  24. Kolb, Sebastian & Dillig, Marius & Plankenbühler, Thomas & Karl, Jürgen, 2020. "The impact of renewables on electricity prices in Germany - An update for the years 2014–2018," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
  25. Sebastiaan Mulder & Sikke Klein, 2024. "Techno-Economic Comparison of Electricity Storage Options in a Fully Renewable Energy System," Energies, MDPI, vol. 17(5), pages 1-32, February.
  26. Nikita Belyak & Steven A. Gabriel & Nikolay Khabarov & Fabricio Oliveira, 2023. "Renewable Energy Expansion under Taxes and Subsidies: A Transmission Operator's Perspective," Papers 2302.10562, arXiv.org, revised Apr 2024.
  27. Körner, Marc-Fabian & Sedlmeir, Johannes & Weibelzahl, Martin & Fridgen, Gilbert & Heine, Moreen & Neumann, Christoph, 2022. "Systemic risks in electricity systems: A perspective on the potential of digital technologies," Energy Policy, Elsevier, vol. 164(C).
  28. Croonenbroeck, Carsten & Palm, Marcel, 2020. "A spatio-temporal Durbin fixed effects IV-Model for ENTSO-E electricity flows analysis," Renewable Energy, Elsevier, vol. 148(C), pages 205-213.
  29. Valentin Mahler & Robin Girard & Georges Kariniotakis, 2021. "Data-driven Structural Modeling of Electricity Price Dynamics," Working Papers hal-03445396, HAL.
  30. Meng, Anbo & Zhu, Jianbin & Yan, Baiping & Yin, Hao, 2024. "Day-ahead electricity price prediction in multi-price zones based on multi-view fusion spatio-temporal graph neural network," Applied Energy, Elsevier, vol. 369(C).
  31. Qinghe Zhao & Xinyi Liu & Junlong Fang, 2023. "Extreme Gradient Boosting Model for Day-Ahead STLF in National Level Power System: Estonia Case Study," Energies, MDPI, vol. 16(24), pages 1-29, December.
  32. Kazmi, Hussain & Munné-Collado, Íngrid & Mehmood, Fahad & Syed, Tahir Abbas & Driesen, Johan, 2021. "Towards data-driven energy communities: A review of open-source datasets, models and tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
  33. Ingrid Munné-Collado & Fabio Maria Aprà & Pol Olivella-Rosell & Roberto Villafáfila-Robles, 2019. "The Potential Role of Flexibility During Peak Hours on Greenhouse Gas Emissions: A Life Cycle Assessment of Five Targeted National Electricity Grid Mixes," Energies, MDPI, vol. 12(23), pages 1-22, November.
  34. Wiese, Frauke & Schlecht, Ingmar & Bunke, Wolf-Dieter & Gerbaulet, Clemens & Hirth, Lion & Jahn, Martin & Kunz, Friedrich & Lorenz, Casimir & Mühlenpfordt, Jonathan & Reimann, Juliane & Schill, Wolf-P, 2019. "Open Power System Data – Frictionless data for electricity system modelling," Applied Energy, Elsevier, vol. 236(C), pages 401-409.
  35. Kies, Alexander & Schyska, Bruno U. & Bilousova, Mariia & El Sayed, Omar & Jurasz, Jakub & Stoecker, Horst, 2021. "Critical review of renewable generation datasets and their implications for European power system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
  36. Zhou, Bo & Ai, Xiaomeng & Fang, Jiakun & Yao, Wei & Zuo, Wenping & Chen, Zhe & Wen, Jinyu, 2019. "Data-adaptive robust unit commitment in the hybrid AC/DC power system," Applied Energy, Elsevier, vol. 254(C).
  37. van der Most, L. & van der Wiel, K. & Benders, R.M.J. & Gerbens-Leenes, P.W. & Kerkmans, P. & Bintanja, R., 2022. "Extreme events in the European renewable power system: Validation of a modeling framework to estimate renewable electricity production and demand from meteorological data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
  38. Avesani, Diego & Zanfei, Ariele & Di Marco, Nicola & Galletti, Andrea & Ravazzolo, Francesco & Righetti, Maurizio & Majone, Bruno, 2022. "Short-term hydropower optimization driven by innovative time-adapting econometric model," Applied Energy, Elsevier, vol. 310(C).
  39. Iria, José & Heleno, Miguel & Cardoso, Gonçalo, 2019. "Optimal sizing and placement of energy storage systems and on-load tap changer transformers in distribution networks," Applied Energy, Elsevier, vol. 250(C), pages 1147-1157.
  40. Hirth, Lion & Khanna, Tarun & Ruhnau, Oliver, 2022. "The (very) short-term price elasticity of German electricity demand," EconStor Preprints 249570, ZBW - Leibniz Information Centre for Economics.
  41. Florian Ziel, 2020. "Load Nowcasting: Predicting Actuals with Limited Data," Energies, MDPI, vol. 13(6), pages 1-15, March.
  42. Iria, José & Soares, Filipe & Matos, Manuel, 2019. "Optimal bidding strategy for an aggregator of prosumers in energy and secondary reserve markets," Applied Energy, Elsevier, vol. 238(C), pages 1361-1372.
  43. Fleschutz, Markus & Bohlayer, Markus & Braun, Marco & Henze, Gregor & Murphy, Michael D., 2021. "The effect of price-based demand response on carbon emissions in European electricity markets: The importance of adequate carbon prices," Applied Energy, Elsevier, vol. 295(C).
  44. Halbrügge, Stephanie & Buhl, Hans Ulrich & Fridgen, Gilbert & Schott, Paul & Weibelzahl, Martin & Weissflog, Jan, 2022. "How Germany achieved a record share of renewables during the COVID-19 pandemic while relying on the European interconnected power network," Energy, Elsevier, vol. 246(C).
  45. Michel Noussan & Francesco Neirotti, 2020. "Cross-Country Comparison of Hourly Electricity Mixes for EV Charging Profiles," Energies, MDPI, vol. 13(10), pages 1-14, May.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.