Open-source electricity market modelling for the Baltic states: review and requirements

被引:1
作者
Broka, Zane [1 ]
Baltputnis, Karlis [1 ]
机构
[1] Riga Tech Univ, Inst Power Engn, Riga, Latvia
来源
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM | 2023年
关键词
electricity markets; modelling; optimisation; open source; energy transition; ENERGY; SYSTEM; TOOLS;
D O I
10.1109/EEM58374.2023.10161953
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study strives to develop an open-source model for studying the Baltic electricity market. An important step towards this goal is assessment of the existing modelling landscape. Therefore, in this paper we present an overview of the modelling approaches and a non-exhaustive review of existing open-source energy modelling tools, listing also frameworks that have been applied for studying the Baltic energy system. Based on the review and needs analysis, we devise the main requirements for the further development efforts of the Baltic electricity market model.
引用
收藏
页数:6
相关论文
共 50 条
[41]   Bridging proprietary modelling and open-source model management tools: the case of PTC Integrity Modeller and Epsilon [J].
Zolotas, Athanasios ;
Rodriguez, Horacio Hoyos ;
Hutchesson, Stuart ;
Pina, Beatriz Sanchez ;
Grigg, Alan ;
Li, Mole ;
Kolovos, Dimitrios S. ;
Paige, Richard F. .
SOFTWARE AND SYSTEMS MODELING, 2020, 19 (01) :17-38
[42]   Bridging proprietary modelling and open-source model management tools: the case of PTC Integrity Modeller and Epsilon [J].
Athanasios Zolotas ;
Horacio Hoyos Rodriguez ;
Stuart Hutchesson ;
Beatriz Sanchez Pina ;
Alan Grigg ;
Mole Li ;
Dimitrios S. Kolovos ;
Richard F. Paige .
Software and Systems Modeling, 2020, 19 :17-38
[43]   The Full Multi: An open-source framework for modelling the transport and fate of nano- and microplastics in aquatic systems [J].
Domercq, Prado ;
Praetorius, Antonia ;
MacLeod, Matthew .
ENVIRONMENTAL MODELLING & SOFTWARE, 2022, 148
[44]   Efficacy, safety, and user experience of DIY or open-source artificial pancreas systems: a systematic review [J].
Asarani, N. A. M. ;
Reynolds, A. N. ;
Elbalshy, M. ;
Burnside, M. ;
de Bock, M. ;
Lewis, D. M. ;
Wheeler, B. J. .
ACTA DIABETOLOGICA, 2021, 58 (05) :539-547
[45]   A review of open-source machine learning algorithms for twitter text sentiment analysis and image classification [J].
Lynch, Conor ;
Kehoe, Jacqueline ;
O'leary, Christian ;
Vakaloudis, Alex ;
Smith, Gary ;
Linger, Richrd .
2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
[46]   A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations [J].
Malik, Hafizi ;
Idris, Ahmad Syahrin ;
Toha, Siti Fauziah ;
Idris, Izyan Mohd ;
Daud, Muhammad Fauzi ;
Azmi, Nur Liyana .
PEERJ COMPUTER SCIENCE, 2023, 9
[47]   Open-Source Electronic Health Record Systems for Low-Resource Settings: Systematic Review [J].
Syzdykova, Assel ;
Malta, Andre ;
Zolfo, Maria ;
Diro, Ermias ;
Oliveira, Jose Luis .
JMIR MEDICAL INFORMATICS, 2017, 5 (04)
[48]   Towards data-driven energy communities: A review of open-source datasets, models and tools [J].
Kazmi, Hussain ;
Munne-Collado, Ingrid ;
Mehmood, Fahad ;
Syed, Tahir Abbas ;
Driesen, Johan .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 148
[49]   A review of computer tools for prediction of ecosystems and populations: We need more open-source software [J].
Paradis, Emmanuel .
ENVIRONMENTAL MODELLING & SOFTWARE, 2020, 134
[50]   Comparative analysis of open-source federated learning frameworks - a literature-based survey and review [J].
Riedel, Pascal ;
Schick, Lukas ;
von Schwerin, Reinhold ;
Reichert, Manfred ;
Schaudt, Daniel ;
Hafner, Alexander .
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2024, 15 (11) :5257-5278