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Carpe diem: A novel approach to select representative days for long-term power system modeling

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  1. de Guibert, Paul & Shirizadeh, Behrang & Quirion, Philippe, 2020. "Variable time-step: A method for improving computational tractability for energy system models with long-term storage," Energy, Elsevier, vol. 213(C).
  2. Markus Lauer & Daniela Thrän, 2018. "Flexible Biogas in Future Energy Systems—Sleeping Beauty for a Cheaper Power Generation," Energies, MDPI, vol. 11(4), pages 1-24, March.
  3. Mansoor, Muhammad & Stadler, Michael & Zellinger, Michael & Lichtenegger, Klaus & Auer, Hans & Cosic, Armin, 2021. "Optimal planning of thermal energy systems in a microgrid with seasonal storage and piecewise affine cost functions," Energy, Elsevier, vol. 215(PA).
  4. Zhang, Chao & Lasaulce, Samson & Hennebel, Martin & Saludjian, Lucas & Panciatici, Patrick & Poor, H. Vincent, 2021. "Decision-making oriented clustering: Application to pricing and power consumption scheduling," Applied Energy, Elsevier, vol. 297(C).
  5. Reichenberg, Lina & Hedenus, Fredrik & Odenberger, Mikael & Johnsson, Filip, 2018. "The marginal system LCOE of variable renewables – Evaluating high penetration levels of wind and solar in Europe," Energy, Elsevier, vol. 152(C), pages 914-924.
  6. Hilbers, Adriaan P. & Brayshaw, David J. & Gandy, Axel, 2023. "Reducing climate risk in energy system planning: A posteriori time series aggregation for models with storage," Applied Energy, Elsevier, vol. 334(C).
  7. Taljegard, M. & Göransson, L. & Odenberger, M. & Johnsson, F., 2019. "Impacts of electric vehicles on the electricity generation portfolio – A Scandinavian-German case study," Applied Energy, Elsevier, vol. 235(C), pages 1637-1650.
  8. Staffell, Iain & Pfenninger, Stefan, 2018. "The increasing impact of weather on electricity supply and demand," Energy, Elsevier, vol. 145(C), pages 65-78.
  9. Alexander Estes & David J. Lovell & Michael O. Ball, 2019. "Unsupervised prototype reduction for data exploration and an application to air traffic management initiatives," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(5), pages 467-510, December.
  10. Keller, Victor & English, Jeffrey & Fernandez, Julian & Wade, Cameron & Fowler, McKenzie & Scholtysik, Sven & Palmer-Wilson, Kevin & Donald, James & Robertson, Bryson & Wild, Peter & Crawford, Curran , 2019. "Electrification of road transportation with utility controlled charging: A case study for British Columbia with a 93% renewable electricity target," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
  11. Teichgraeber, Holger & Lindenmeyer, Constantin P. & Baumgärtner, Nils & Kotzur, Leander & Stolten, Detlef & Robinius, Martin & Bardow, André & Brandt, Adam R., 2020. "Extreme events in time series aggregation: A case study for optimal residential energy supply systems," Applied Energy, Elsevier, vol. 275(C).
  12. Millinger, M. & Reichenberg, L. & Hedenus, F. & Berndes, G. & Zeyen, E. & Brown, T., 2022. "Are biofuel mandates cost-effective? - An analysis of transport fuels and biomass usage to achieve emissions targets in the European energy system," Applied Energy, Elsevier, vol. 326(C).
  13. Osorio, Sebastian & Pietzcker, Robert C. & Pahle, Michael & Edenhofer, Ottmar, 2020. "How to deal with the risks of phasing out coal in Germany," Energy Economics, Elsevier, vol. 87(C).
  14. Pietzcker, Robert C. & Ueckerdt, Falko & Carrara, Samuel & de Boer, Harmen Sytze & Després, Jacques & Fujimori, Shinichiro & Johnson, Nils & Kitous, Alban & Scholz, Yvonne & Sullivan, Patrick & Ludere, 2017. "System integration of wind and solar power in integrated assessment models: A cross-model evaluation of new approaches," Energy Economics, Elsevier, vol. 64(C), pages 583-599.
  15. van der Heijde, Bram & Vandermeulen, Annelies & Salenbien, Robbe & Helsen, Lieve, 2019. "Representative days selection for district energy system optimisation: a solar district heating system with seasonal storage," Applied Energy, Elsevier, vol. 248(C), pages 79-94.
  16. ZareAfifi, Farzan & Mahmud, Zabir & Kurtz, Sarah, 2023. "Diurnal, physics-based strategy for computationally efficient capacity-expansion optimizations for solar-dominated grids," Energy, Elsevier, vol. 279(C).
  17. Göke, Leonard & Kendziorski, Mario, 2022. "Adequacy of time-series reduction for renewable energy systems," Energy, Elsevier, vol. 238(PA).
  18. Heggarty, Thomas & Bourmaud, Jean-Yves & Girard, Robin & Kariniotakis, Georges, 2024. "Assessing the relative impacts of maximum investment rate and temporal detail in capacity expansion models applied to power systems," Energy, Elsevier, vol. 290(C).
  19. Merrick, James H. & Bistline, John E.T. & Blanford, Geoffrey J., 2024. "On representation of energy storage in electricity planning models," Energy Economics, Elsevier, vol. 136(C).
  20. Teichgraeber, Holger & Brodrick, Philip G. & Brandt, Adam R., 2017. "Optimal design and operations of a flexible oxyfuel natural gas plant," Energy, Elsevier, vol. 141(C), pages 506-518.
  21. Motlagh, Omid & Berry, Adam & O'Neil, Lachlan, 2019. "Clustering of residential electricity customers using load time series," Applied Energy, Elsevier, vol. 237(C), pages 11-24.
  22. Rigo-Mariani, Rémy, 2022. "Optimized time reduction models applied to power and energy systems planning – Comparison with existing methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
  23. Timo Kannengießer & Maximilian Hoffmann & Leander Kotzur & Peter Stenzel & Fabian Schuetz & Klaus Peters & Stefan Nykamp & Detlef Stolten & Martin Robinius, 2019. "Reducing Computational Load for Mixed Integer Linear Programming: An Example for a District and an Island Energy System," Energies, MDPI, vol. 12(14), pages 1-27, July.
  24. Scott, Ian J. & Carvalho, Pedro M.S. & Botterud, Audun & Silva, Carlos A., 2019. "Clustering representative days for power systems generation expansion planning: Capturing the effects of variable renewables and energy storage," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
  25. Chu, Cheng-Ta & Hawkes, Adam D., 2020. "A geographic information system-based global variable renewable potential assessment using spatially resolved simulation," Energy, Elsevier, vol. 193(C).
  26. Héctor Marañón-Ledesma & Asgeir Tomasgard, 2019. "Analyzing Demand Response in a Dynamic Capacity Expansion Model for the European Power Market," Energies, MDPI, vol. 12(15), pages 1-24, August.
  27. Kenjiro Yagi & Ramteen Sioshansi, 2023. "Simplifying capacity planning for electricity systems with hydroelectric and renewable generation," Computational Management Science, Springer, vol. 20(1), pages 1-28, December.
  28. Shawhan, Daniel & Funke, Christoph & Witkin, Steven, 2020. "Benefits of Energy Technology Innovation Part 1: Power Sector Modeling Results," RFF Working Paper Series 20-19, Resources for the Future.
  29. Marcy, Cara & Goforth, Teagan & Nock, Destenie & Brown, Maxwell, 2022. "Comparison of temporal resolution selection approaches in energy systems models," Energy, Elsevier, vol. 251(C).
  30. Assembayeva, Makpal & Egerer, Jonas & Mendelevitch, Roman & Zhakiyev, Nurkhat, 2018. "A spatial electricity market model for the power system: The Kazakhstan case study," Energy, Elsevier, vol. 149(C), pages 762-778.
  31. Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Energy, Elsevier, vol. 203(C).
  32. Gorenstein Dedecca, João & Lumbreras, Sara & Ramos, Andrés & Hakvoort, Rudi A. & Herder, Paulien M., 2018. "Expansion planning of the North Sea offshore grid: Simulation of integrated governance constraints," Energy Economics, Elsevier, vol. 72(C), pages 376-392.
  33. Després, Jacques & Mima, Silvana & Kitous, Alban & Criqui, Patrick & Hadjsaid, Nouredine & Noirot, Isabelle, 2017. "Storage as a flexibility option in power systems with high shares of variable renewable energy sources: a POLES-based analysis," Energy Economics, Elsevier, vol. 64(C), pages 638-650.
  34. Jacques Després, 2015. "Development of a dispatch model of the European power system for coupling with a long-term foresight energy model," Working Papers hal-01245554, HAL.
  35. Maximilian Hoffmann & Leander Kotzur & Detlef Stolten & Martin Robinius, 2020. "A Review on Time Series Aggregation Methods for Energy System Models," Energies, MDPI, vol. 13(3), pages 1-61, February.
  36. Teichgraeber, Holger & Küpper, Lucas Elias & Brandt, Adam R., 2021. "Designing reliable future energy systems by iteratively including extreme periods in time-series aggregation," Applied Energy, Elsevier, vol. 304(C).
  37. Helgeson, Broghan & Peter, Jakob, 2020. "The role of electricity in decarbonizing European road transport – Development and assessment of an integrated multi-sectoral model," Applied Energy, Elsevier, vol. 262(C).
  38. Mateusz Andrychowicz, 2021. "The Impact of Energy Storage along with the Allocation of RES on the Reduction of Energy Costs Using MILP," Energies, MDPI, vol. 14(13), pages 1-15, June.
  39. Peter, Jakob, 2019. "How does climate change affect electricity system planning and optimal allocation of variable renewable energy?," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
  40. Casimir Lorenz, 2017. "Balancing Reserves within a Decarbonized European Electricity System in 2050: From Market Developments to Model Insights," Discussion Papers of DIW Berlin 1656, DIW Berlin, German Institute for Economic Research.
  41. Hoffmann, Maximilian & Kotzur, Leander & Stolten, Detlef, 2022. "The Pareto-optimal temporal aggregation of energy system models," Applied Energy, Elsevier, vol. 315(C).
  42. Klemm, Christian & Wiese, Frauke & Vennemann, Peter, 2023. "Model-based run-time and memory reduction for a mixed-use multi-energy system model with high spatial resolution," Applied Energy, Elsevier, vol. 334(C).
  43. Pfenninger, Stefan, 2017. "Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability," Applied Energy, Elsevier, vol. 197(C), pages 1-13.
  44. Virasjoki, Vilma & Siddiqui, Afzal S. & Oliveira, Fabricio & Salo, Ahti, 2020. "Utility-scale energy storage in an imperfectly competitive power sector," Energy Economics, Elsevier, vol. 88(C).
  45. Thomas Heggarty & Jean-Yves Bourmaud & Robin Girard & Georges Kariniotakis, 2024. "Assessing the relative impacts of maximum investment rate and temporal detail in capacity expansion models applied to power systems," Post-Print hal-04383397, HAL.
  46. Karl-Kiên Cao & Kai von Krbek & Manuel Wetzel & Felix Cebulla & Sebastian Schreck, 2019. "Classification and Evaluation of Concepts for Improving the Performance of Applied Energy System Optimization Models," Energies, MDPI, vol. 12(24), pages 1-51, December.
  47. Jean-Nicolas Louis & Stéphane Allard & Freideriki Kotrotsou & Vincent Debusschere, 2020. "A multi-objective approach to the prospective development of the European power system by 2050," Post-Print hal-02376337, HAL.
  48. Hilbers, Adriaan P. & Brayshaw, David J. & Gandy, Axel, 2019. "Importance subsampling: improving power system planning under climate-based uncertainty," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
  49. Osorio, Sebastian & Pietzcker, Robert Carl & Pahle, Michael & Edenhofer, Ottmar, 2018. "How to deal with the risks of phasing out coal in Germany through national carbon pricing," EconStor Preprints 190771, ZBW - Leibniz Information Centre for Economics.
  50. Cebulla, F. & Fichter, T., 2017. "Merit order or unit-commitment: How does thermal power plant modeling affect storage demand in energy system models?," Renewable Energy, Elsevier, vol. 105(C), pages 117-132.
  51. Reichenberg, Lina & Siddiqui, Afzal S. & Wogrin, Sonja, 2018. "Policy implications of downscaling the time dimension in power system planning models to represent variability in renewable output," Energy, Elsevier, vol. 159(C), pages 870-877.
  52. Bahl, Björn & Kümpel, Alexander & Seele, Hagen & Lampe, Matthias & Bardow, André, 2017. "Time-series aggregation for synthesis problems by bounding error in the objective function," Energy, Elsevier, vol. 135(C), pages 900-912.
  53. Haugen, Mari & Blaisdell-Pijuan, Paris L. & Botterud, Audun & Levin, Todd & Zhou, Zhi & Belsnes, Michael & Korpås, Magnus & Somani, Abhishek, 2024. "Power market models for the clean energy transition: State of the art and future research needs," Applied Energy, Elsevier, vol. 357(C).
  54. Navarro, Andrés & Favereau, Marcel & Lorca, Álvaro & Olivares, Daniel & Negrete-Pincetic, Matías, 2024. "Medium-term stochastic hydrothermal scheduling with short-term operational effects for large-scale power and water networks," Applied Energy, Elsevier, vol. 358(C).
  55. Mallapragada, Dharik S. & Papageorgiou, Dimitri J. & Venkatesh, Aranya & Lara, Cristiana L. & Grossmann, Ignacio E., 2018. "Impact of model resolution on scenario outcomes for electricity sector system expansion," Energy, Elsevier, vol. 163(C), pages 1231-1244.
  56. Barrera-Santana, J. & Sioshansi, Ramteen, 2023. "An optimization framework for capacity planning of island electricity systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
  57. Osorio, Sebastian & Tietjen, Oliver & Pahle, Michael & Pietzcker, Robert C. & Edenhofer, Ottmar, 2021. "Reviewing the Market Stability Reserve in light of more ambitious EU ETS emission targets," Energy Policy, Elsevier, vol. 158(C).
  58. Özdemir, Özge & Hobbs, Benjamin F. & van Hout, Marit & Koutstaal, Paul R., 2020. "Capacity vs energy subsidies for promoting renewable investment: Benefits and costs for the EU power market," Energy Policy, Elsevier, vol. 137(C).
  59. González-Cabrera, Nestor & Ortiz-Bejar, Jose & Zamora-Mendez, Alejandro & Arrieta Paternina, Mario R., 2021. "On the Improvement of representative demand curves via a hierarchical agglomerative clustering for power transmission network investment," Energy, Elsevier, vol. 222(C).
  60. Müller, Inga M., 2022. "Energy system modeling with aggregated time series: A profiling approach," Applied Energy, Elsevier, vol. 322(C).
  61. Yeganefar, Ali & Amin-Naseri, Mohammad Reza & Sheikh-El-Eslami, Mohammad Kazem, 2020. "Improvement of representative days selection in power system planning by incorporating the extreme days of the net load to take account of the variability and intermittency of renewable resources," Applied Energy, Elsevier, vol. 272(C).
  62. Lugovoy, Oleg & Gao, Shuo & Gao, Ji & Jiang, Kejun, 2021. "Feasibility study of China's electric power sector transition to zero emissions by 2050," Energy Economics, Elsevier, vol. 96(C).
  63. Lisa Göransson & Caroline Granfeldt & Ann-Brith Strömberg, 2021. "Management of Wind Power Variations in Electricity System Investment Models," SN Operations Research Forum, Springer, vol. 2(2), pages 1-30, June.
  64. Gerbaulet, C. & Weber, A., 2018. "When regulators do not agree: Are merchant interconnectors an option? Insights from an analysis of options for network expansion in the Baltic Sea region," Energy Policy, Elsevier, vol. 117(C), pages 228-246.
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  66. Teichgraeber, Holger & Brandt, Adam R., 2019. "Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison," Applied Energy, Elsevier, vol. 239(C), pages 1283-1293.
  67. Germeshausen, Robert & Wölfing, Nikolas, 2019. "How marginal is lignite? Two simple approaches to determine price-setting technologies in power markets," ZEW Discussion Papers 19-031, ZEW - Leibniz Centre for European Economic Research.
  68. van Staden, Chantelle Y. & Vermeulen, Hendrik J. & Groch, Matthew, 2021. "Time-of-Use feature based clustering of spatiotemporal wind power profiles," Energy, Elsevier, vol. 236(C).
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  71. Ziel, Florian & Steinert, Rick, 2018. "Probabilistic mid- and long-term electricity price forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 251-266.
  72. Clemens Gerbaulet & Casimir Lorenz, 2017. "dynELMOD: A Dynamic Investment and Dispatch Model for the Future European Electricity Market," Data Documentation 88, DIW Berlin, German Institute for Economic Research.
  73. Göke, Leonard, 2021. "A graph-based formulation for modeling macro-energy systems," Applied Energy, Elsevier, vol. 301(C).
  74. Yazdanie, M. & Orehounig, K., 2021. "Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
  75. Antenucci, Andrea & Sansavini, Giovanni, 2019. "Extensive CO2 recycling in power systems via Power-to-Gas and network storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 33-43.
  76. Gonzato, Sebastian & Bruninx, Kenneth & Delarue, Erik, 2021. "Long term storage in generation expansion planning models with a reduced temporal scope," Applied Energy, Elsevier, vol. 298(C).
  77. Kittel, Martin & Hobbie, Hannes & Dierstein, Constantin, 2022. "Temporal aggregation of time series to identify typical hourly electricity system states: A systematic assessment of relevant cluster algorithms," Energy, Elsevier, vol. 247(C).
  78. Amorim, Filipa & Simoes, Sofia G. & Siggini, Gildas & Assoumou, Edi, 2020. "Introducing climate variability in energy systems modelling," Energy, Elsevier, vol. 206(C).
  79. Pöstges, Arne & Weber, Christoph, 2023. "Identifying key elements for adequate simplifications of investment choices – The case of wind energy expansion," Energy Economics, Elsevier, vol. 120(C).
  80. Miranda, Raul & Simoes, Sofia & Szklo, Alexandre & Schaeffer, Roberto, 2019. "Adding detailed transmission constraints to a long-term integrated assessment model – A case study for Brazil using the TIMES model," Energy, Elsevier, vol. 167(C), pages 791-803.
  81. Yokoyama, Ryohei & Takeuchi, Kotaro & Shinano, Yuji & Wakui, Tetsuya, 2021. "Effect of model reduction by time aggregation in multiobjective optimal design of energy supply systems by a hierarchical MILP method," Energy, Elsevier, vol. 228(C).
  82. Teichgraeber, Holger & Brandt, Adam R., 2022. "Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
  83. Prina, Matteo Giacomo & Nastasi, Benedetto & Groppi, Daniele & Misconel, Steffi & Garcia, Davide Astiaso & Sparber, Wolfram, 2022. "Comparison methods of energy system frameworks, models and scenario results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
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  85. Kotzur, Leander & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "Time series aggregation for energy system design: Modeling seasonal storage," Applied Energy, Elsevier, vol. 213(C), pages 123-135.
  86. Kenjiro Yagi & Ramteen Sioshansi, 2024. "Nested Benders’s decomposition of capacity-planning problems for electricity systems with hydroelectric and renewable generation," Computational Management Science, Springer, vol. 21(1), pages 1-31, June.
  87. Homeyra Akter & Harun Or Rashid Howlader & Ahmed Y. Saber & Paras Mandal & Hiroshi Takahashi & Tomonobu Senjyu, 2021. "Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission," Energies, MDPI, vol. 14(22), pages 1-19, November.
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  89. Louis, Jean-Nicolas & Allard, Stéphane & Kotrotsou, Freideriki & Debusschere, Vincent, 2020. "A multi-objective approach to the prospective development of the European power system by 2050," Energy, Elsevier, vol. 191(C).
  90. Makpal Assembayeva & Jonas Egerer & Roman Mendelevitch & Nurkhat Zhakiyev, 2017. "A Spatial Electricity Market Model for the Power System of Kazakhstan," Discussion Papers of DIW Berlin 1659, DIW Berlin, German Institute for Economic Research.
  91. Siala, Kais & Mier, Mathias & Schmidt, Lukas & Torralba-Díaz, Laura & Sheykhha, Siamak & Savvidis, Georgios, 2022. "Which model features matter? An experimental approach to evaluate power market modeling choices," Energy, Elsevier, vol. 245(C).
  92. Pietzcker, Robert C. & Osorio, Sebastian & Rodrigues, Renato, 2021. "Tightening EU ETS targets in line with the European Green Deal: Impacts on the decarbonization of the EU power sector," Applied Energy, Elsevier, vol. 293(C).
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  95. Cieplinski, A. & D'Alessandro, S. & Marghella, F., 2021. "Assessing the renewable energy policy paradox: A scenario analysis for the Italian electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
  96. Sina Heidari, 2020. "How Strategic Behavior of Natural Gas Exporters Can Affect the Sectors of Electricity, Heating, and Emission Trading during the European Energy Transition," Energies, MDPI, vol. 13(19), pages 1-20, September.
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  101. Tejada-Arango, Diego A. & Wogrin, Sonja & Siddiqui, Afzal S. & Centeno, Efraim, 2019. "Opportunity cost including short-term energy storage in hydrothermal dispatch models using a linked representative periods approach," Energy, Elsevier, vol. 188(C).
  102. Mertens, Tim & Poncelet, Kris & Duerinck, Jan & Delarue, Erik, 2020. "Representing cross-border trade of electricity in long-term energy-system optimization models with a limited geographical scope," Applied Energy, Elsevier, vol. 261(C).
  103. Yokoyama, Ryohei & Shinano, Yuji & Wakayama, Yuki & Wakui, Tetsuya, 2019. "Model reduction by time aggregation for optimal design of energy supply systems by an MILP hierarchical branch and bound method," Energy, Elsevier, vol. 181(C), pages 782-792.
  104. Oriol Raventós & Julian Bartels, 2020. "Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models," Energies, MDPI, vol. 13(4), pages 1-18, February.
  105. Hoffmann, Maximilian & Priesmann, Jan & Nolting, Lars & Praktiknjo, Aaron & Kotzur, Leander & Stolten, Detlef, 2021. "Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models," Applied Energy, Elsevier, vol. 304(C).
  106. Germeshausen, Robert & Wölfing, Nikolas, 2020. "How marginal is lignite? Two simple approaches to determine price-setting technologies in power markets," Energy Policy, Elsevier, vol. 142(C).
  107. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Seljom, Pernille & Lind, Arne & Wagner, Fabian & Mesfun, Sennai, 2020. "Short-term solar and wind variability in long-term energy system models - A European case study," Energy, Elsevier, vol. 209(C).
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  109. Guo, Li & Hou, Ruosong & Liu, Yixin & Wang, Chengshan & Lu, Hai, 2020. "A novel typical day selection method for the robust planning of stand-alone wind-photovoltaic-diesel-battery microgrid," Applied Energy, Elsevier, vol. 263(C).
  110. Kuepper, Lucas Elias & Teichgraeber, Holger & Baumgärtner, Nils & Bardow, André & Brandt, Adam R., 2022. "Wind data introduce error in time-series reduction for capacity expansion modelling," Energy, Elsevier, vol. 256(C).
  111. Mallapragada, Dharik S. & Sepulveda, Nestor A. & Jenkins, Jesse D., 2020. "Long-run system value of battery energy storage in future grids with increasing wind and solar generation," Applied Energy, Elsevier, vol. 275(C).
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