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Review Article

Energy system models: a review of concepts and recent advances using bibliometrics

ORCID Icon & ORCID Icon
Pages 975-1007 | Received 24 May 2023, Accepted 03 Aug 2023, Published online: 15 Aug 2023

References

  • Abramo, G., C. A. D’Angelo, and F. Di Costa. 2009. “Research Collaboration and Productivity: Is There Correlation?” Higher Education 57 (2): 155–171. https://doi.org/10.1007/s10734-008-9139-z.
  • Ajiboye, O. K., C. V. Ochiegbu, E. A. Ofosu, and S. Gyamfi. 2023. “A Review of Hybrid Renewable Energies Optimisation: Design, Methodologies, and Criteria.” International Journal of Sustainable Energy 42 (1): 648–684. https://doi.org/10.1080/14786451.2023.2227294.
  • Allegrini, J., K. Orehounig, G. Mavromatidis, F. Ruesch, V. Dorer, and R. Evins. 2015. “A Review of Modelling Approaches and Tools for the Simulation of District-Scale Energy Systems.” Renewable and Sustainable Energy Reviews 52: 1391–1404. https://doi.org/10.1016/j.rser.2015.07.123.
  • Appio, F. P., F. Cesaroni, and A. Di Minin. 2014. “Visualizing the Structure and Bridges of the Intellectual Property Management and Strategy Literature: A Document Co-Citation Analysis.” Scientometrics 101 (1): 623–661. https://doi.org/10.1007/s11192-014-1329-0.
  • Banjar-Nahor, K. M., L. Garbuio, V. Debusschere, N. Hadjsaid, and N. Sinisuka. 2018. “Study on Renewable Penetration Limits in a Typical Indonesian Islanded Microgrid Considering the Impact of Variable Renewables Integration and the Empowering Flexibility on Grid Stability.” In 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), edited by T. T. H. Pham, 1–6. Sarajevo, Bosnia and Herzegovina: IEEE.
  • Bartol, T., G. Budimir, D. Dekleva-Smrekar, M. Pusnik, and P. Juznic. 2014. “Assessment of Research Fields in Scopus and Web of Science in the View of National Research Evaluation in Slovenia.” Scientometrics 98 (2): 1491–1504. https://doi.org/10.1007/s11192-013-1148-8.
  • Bhattacharyya, S. C., and G. R. Timilsina. 2010. “A Review of Energy System Models.” International Journal of Energy Sector Management 4 (4): 494–518.
  • Bodin, Ö. 2017. “Collaborative Environmental Governance: Achieving Collective Action in Social-Ecological Systems.” Science 357 (6352): eaan1114. https://doi.org/10.1126/science.aan1114.
  • Bonilla, C. A., J. M. Merigó, and C. Torres-Abad. 2015. “Economics in Latin America: A Bibliometric Analysis.” Scientometrics 105 (2): 1239–1252. https://doi.org/10.1007/s11192-015-1747-7.
  • Brown, T., D. Schlachtberger, A. Kies, S. Schramm, and M. Greiner. 2018. “Synergies of Sector Coupling and Transmission Reinforcement in a Cost-Optimised, Highly Renewable European Energy System.” Energy 160: 720–739. https://doi.org/10.1016/j.energy.2018.06.222.
  • Cajot, S., M. Peter, J. M. Bahu, F. Guignet, A. Koch, and F. Maréchal. 2017. “Obstacles in Energy Planning at the Urban Scale.” Sustainable Cities and Society 30: 223–236. https://doi.org/10.1016/j.scs.2017.02.003.
  • Chang, M., J. Z. Thellufsen, B. Zakeri, B. Pickering, S. Pfenninger, H. Lund, and P. A. Østergaard. 2021. “Trends in Tools and Approaches for Modelling the Energy Transition.” Applied Energy 290: 116731. https://doi.org/10.1016/j.apenergy.2021.116731.
  • Chen, Y., M. Lin, and D. Zhuang. 2022. “Wastewater Treatment and Emerging Contaminants: Bibliometric Analysis.” Chemosphere 297: 133932. https://doi.org/10.1016/j.chemosphere.2022.133932.
  • Cheng, F. F., Y. W. Huang, H. C. Yu, and C. S. Wu. 2018. “Mapping Knowledge Structure by Keyword Co-Occurrence and Social Network Analysis: Evidence from Fibrary Hi Tech between 2006 and 2017.” Library Hi Tech 36 (4): 636–650. https://doi.org/10.1108/LHT-01-2018-0004.
  • Cholewa, M., F. Mammadov, and A. Nowaczek. 2022. “The Obstacles and Challenges of Transition Towards a Renewable and Sustainable Energy System in Azerbaijan and Poland.” Mineral Economics 35 (1): 155–169. https://doi.org/10.1007/s13563-021-00288-x.
  • Collins, S., J. P. Deane, K. Poncelet, E. Panos, R. C. Pietzcker, E. Delarue, and B. P. Ó. Gallachóir. 2017. “Integrating Short Term Variations of the Power System Into Integrated Energy System Models: A Methodological Review.” Renewable and Sustainable Energy Reviews 76: 839–856. https://doi.org/10.1016/j.rser.2017.03.090.
  • Comerio, N., and F. Strozzi. 2019. “Tourism and its Economic Impact: A Literature Review Using Bibliometric Tools.” Tourism Economics 25 (1): 109–131. https://doi.org/10.1177/1354816618793762.
  • Connolly, D., H. Lund, and B. V. Mathiesen. 2016. “Smart Energy Europe: The Technical and Economic Impact of One Potential 100% Renewable Energy Scenario for the European Union.” Renewable and Sustainable Energy Reviews 60: 1634–1653. https://doi.org/10.1016/j.rser.2016.02.025.
  • Connolly, D., H. Lund, B. V. Mathiesen, and M. Leahy. 2010. “A Review of Computer Tools for Analysing the Integration of Renewable Energy Into Various Energy Systems.” Applied Energy 87 (4): 1059–1082. https://doi.org/10.1016/j.apenergy.2009.09.026.
  • Cornelius, P., A. Van de Putte, and M. Romani. 2005. “Three Decades of Scenario Planning in Shell.” California Management Review 48 (1): 92–109. https://doi.org/10.2307/41166329.
  • Culnan, M. J. 1987. “Mapping the Intellectual Structure of MIS, 1980– 1985: A Co-Citation Analysis.” MIS Quarterly 11 (3): 341. https://doi.org/10.2307/248680.
  • Deane, J. P., A. Chiodi, M. Gargiulo, and B. P. Ó. Gallachóir. 2012. “Soft-linking of a Power Systems Model to an Energy Systems Model.” Energy 42 (1): 303–312. https://doi.org/10.1016/j.energy.2012.03.052.
  • DeCarolis, J., H. Daly, P. Dodds, I. Keppo, F. Li, W. McDowall, S. Pye, et al. 2017. “Formalizing Best Practice for Energy System Optimization Modelling.” Applied Energy 194: 184–198. https://doi.org/10.1016/j.apenergy.2017.03.001.
  • Després, J., N. Hadjsaid, P. Criqui, and I. Noirot. 2015. “Modelling the Impacts of Variable Renewable Sources on the Power Sector: Reconsidering the Typology of Energy Modelling Tools.” Energy 80: 486–495. https://doi.org/10.1016/j.energy.2014.12.005.
  • Ding, Y., and B. Cronin. 2011. “Popular and/or Prestigious? Measures of Scholarly Esteem.” Information Processing & Management 47 (1): 80–96. https://doi.org/10.1016/j.ipm.2010.01.002.
  • Dominković, D. F., J. M. Weinand, F. Scheller, M. D’Andrea, and R. McKenna. 2022. “Reviewing Two Decades of Energy System Analysis with Bibliometrics.” Renewable and Sustainable Energy Reviews 153: 111749. https://doi.org/10.1016/j.rser.2021.111749.
  • Durán-Sánchez, A., M. D. L. C. Del Río, J. Álvarez-García, and D. F. García-Vélez. 2019. “Mapping of Scientific Coverage on Education for Entrepreneurship in Higher Education.” Journal of Enterprising Communities: People and Places in the Global Economy 13 (1/2): 84–104.
  • Entezari, A., A. Aslani, R. Zahedi, and Y. Noorollahi. 2023. “Artificial Intelligence and Machine Learning in Energy Systems: A Bibliographic Perspective.” Energy Strategy Reviews 45: 101017. https://doi.org/10.1016/j.esr.2022.101017.
  • Falkner, R. 2014. “Global Environmental Politics and Energy: Mapping the Research Agenda.” Energy Research & Social Science 1: 188–197. https://doi.org/10.1016/j.erss.2014.03.008.
  • Fodstad, M., P. C. del Granado, L. Hellemo, B. R. Knudsen, P. Pisciella, A. Silvast, C. Bordin, S. Schmidt, and J. Straus. 2022. “Next Frontiers in Energy System Modelling: A Review on Challenges and the State of the art.” Renewable and Sustainable Energy Reviews 160: 112246. https://doi.org/10.1016/j.rser.2022.112246.
  • Gabrielli, P., F. Fürer, G. Mavromatidis, and M. Mazzotti. 2019. “Robust and Optimal Design of Multi-Energy Systems with Seasonal Storage Through Uncertainty Analysis.” Applied Energy 238: 1192–1210. https://doi.org/10.1016/j.apenergy.2019.01.064.
  • Gabrielli, P., M. Gazzani, E. Martelli, and M. Mazzotti. 2018. “Optimal Design of Multi-Energy Systems with Seasonal Storage.” Applied Energy 219: 408–424. https://doi.org/10.1016/j.apenergy.2017.07.142.
  • Garfield, E. 1988. “Announcing the SCI Compact Disk Edition: CD-ROM Gigabyte Storage Technology, Novel Software, and Bibliographic Coupling Make Desktop Research and Discovery a Reality.” Current Contents 22: 3–13.
  • Ghoshchi, A., R. Zahedi, Z. M. Pour, and A. Ahmadi. 2022. “Machine Learning Theory in Building Energy Modeling and Optimization: A Bibliometric Analysis.” Journal of Modern Power Systems and Clean Energy 1 (4). https://doi.org/10.53964/jmge.2022004.
  • Gielen, D., F. Boshell, D. Saygin, M. D. Bazilian, N. Wagner, and R. Gorini. 2019. “The Role of Renewable Energy in the Global Energy Transformation.” Energy Strategy Reviews 24: 38–50. https://doi.org/10.1016/j.esr.2019.01.006.
  • Gils, H. C. 2014. “Assessment of the Theoretical Demand Response Potential in Europe.” Energy 67: 1–18. https://doi.org/10.1016/j.energy.2014.02.019.
  • Gils, H. C., Y. Scholz, T. Pregger, D. L. de Tena, and D. Heide. 2017. “Integrated Modelling of Variable Renewable Energy-Based Power Supply in Europe.” Energy 123: 173–188. https://doi.org/10.1016/j.energy.2017.01.115.
  • Griffith, B. C., H. G. Small, J. A. Stonehill, and S. Dey. 1974. “The Structure of Scientific Literatures II: Toward a Macro- and Microstructure for Science.” Science Studies 4 (4): 339–365. https://doi.org/10.1177/030631277400400402.
  • Hall, L. M., and A. R. Buckley. 2016. “A Review of Energy Systems Models in the UK: Prevalent Usage and Categorisation.” Applied Energy 169: 607–628. https://doi.org/10.1016/j.apenergy.2016.02.044.
  • Hansen, K., C. Breyer, and H. Lund. 2019. “Status and Perspectives on 100% Renewable Energy Systems.” Energy 175: 471–480. https://doi.org/10.1016/j.energy.2019.03.092.
  • Hilpert, S., C. Kaldemeyer, U. Krien, S. Günther, C. Wingenbach, and G. Plessmann. 2018. “The Open Energy Modelling Framework (oemof) – A New Approach to Facilitate Open Science in Energy System Modelling.” Energy Strategy Reviews 22: 16–25. https://doi.org/10.1016/j.esr.2018.07.001.
  • Huckebrink, D., and V. Bertsch. 2021. “Integrating Behavioural Aspects in Energy System Modelling—a Review.” Energies 14 (15): 4579. https://doi.org/10.3390/en14154579.
  • Jebaraj, S., and S. Iniyan. 2006. “A Review of Energy Models.” Renewable and Sustainable Energy Reviews 10 (4): 281–311. https://doi.org/10.1016/j.rser.2004.09.004.
  • Keirstead, J., M. Jennings, and A. Sivakumar. 2012. “A Review of Urban Energy System Models: Approaches, Challenges and Opportunities.” Renewable and Sustainable Energy Reviews 16 (6): 3847–3866. https://doi.org/10.1016/j.rser.2012.02.047.
  • Kessler, M. M. 1963. “Bibliographic Coupling Between Scientific Papers.” American Documentation 14 (1): 10–25. https://doi.org/10.1002/asi.5090140103.
  • Khare, V., C. Khare, S. Nema, and P. Baredar. 2021. “Renewable Energy System Paradigm Change from Trending Technology: A Review.” International Journal of Sustainable Energy 40 (7): 697–718. https://doi.org/10.1080/14786451.2020.1860043.
  • Koseoglu, M. A., R. Rahimi, F. Okumus, and J. Liu. 2016. “Bibliometric Studies in Tourism.” Annals of Tourism Research 61: 180–198. https://doi.org/10.1016/j.annals.2016.10.006.
  • Kotzur, L., P. Markewitz, M. Robinius, and D. Stolten. 2018. “Impact of Different Time Series Aggregation Methods on Optimal Energy System Design.” Renewable Energy 117: 474–487. https://doi.org/10.1016/j.renene.2017.10.017.
  • Liu, G. 2014. “Development of a General Sustainability Indicator for Renewable Energy Systems: A Review.” Renewable and Sustainable Energy Reviews 31: 611–621. https://doi.org/10.1016/j.rser.2013.12.038.
  • Lopion, P., P. Markewitz, M. Robinius, and D. Stolten. 2018. “A Review of Current Challenges and Trends in Energy Systems Modeling.” Renewable and Sustainable Energy Reviews 96: 156–166. https://doi.org/10.1016/j.rser.2018.07.045.
  • Lund, P. D., J. Lindgren, J. Mikkola, and J. Salpakari. 2015. “Review of Energy System Flexibility Measures to Enable High Levels of Variable Renewable Electricity.” Renewable and Sustainable Energy Reviews 45: 785–807. https://doi.org/10.1016/j.rser.2015.01.057.
  • Luo, Y., and M. Lin. 2021. “Flash Translation Layer: A Review and Bibliometric Analysis.” International Journal of Intelligent Computing and Cybernetics 14 (3): 480–508. https://doi.org/10.1108/IJICC-02-2021-0034.
  • Maghzian, A., A. Aslani, and R. Zahedi. 2022. “Review on the Direct air CO2 Capture by Microalgae: Bibliographic Mapping.” Energy Reports 8: 3337–3349. https://doi.org/10.1016/j.egyr.2022.02.125.
  • Mairet, N., and F. Decellas. 2009. “Determinants of Energy Demand in the French Service Sector: A Decomposition Analysis.” Energy Policy 37 (7): 2734–2744. https://doi.org/10.1016/j.enpol.2009.03.002.
  • Malla, S., and G. R. Timilsina. 2019. “Assessment of Long-Term Sustainable end-use Energy Demand in Romania.” International Journal of Sustainable Energy 38 (3): 253–275. https://doi.org/10.1080/14786451.2018.1482301.
  • Mancarella, P. 2014. “MES (Multi-Energy Systems): An Overview of Concepts and Evaluation Models.” Energy 65: 1–17. https://doi.org/10.1016/j.energy.2013.10.041.
  • Masoumzadeh, A., H. Rasekhi, and A. Fathi. 2016. “A Comprehensive Energy Supply Model in an Office Building Based on the Reference Energy System.” International Journal of Sustainable Energy 35 (1): 88–102. https://doi.org/10.1080/14786451.2013.868808.
  • Mathiesen, B. V., H. Lund, D. Connolly, H. Wenzel, P. A. Østergaard, B. Möller, S. Nielsen, et al. 2015. “Smart Energy Systems for Coherent 100% Renewable Energy and Transport Solutions.” Applied Energy 145: 139–154. https://doi.org/10.1016/j.apenergy.2015.01.075.
  • Medina, C., C. R. M. Ana, and G. González. 2022. “Transmission Grids to Foster High Penetration of Large-Scale Variable Renewable Energy Sources–A Review of Challenges, Problems, and Solutions.” International Journal of Renewable Energy Research (IJRER) 12 (1): 146–169.
  • Merigó, J. M., and J. B. Yang. 2017. “A Bibliometric Analysis of Operations Research and Management Science.” Omega 73: 37–48. https://doi.org/10.1016/j.omega.2016.12.004.
  • Mohammed, Y. S., M. W. Mustafa, and N. Bashir. 2014. “Hybrid Renewable Energy Systems for off-Grid Electric Power: Review of Substantial Issues.” Renewable and Sustainable Energy Reviews 35: 527–539. https://doi.org/10.1016/j.rser.2014.04.022.
  • Moustakas, K., M. Loizidou, M. Rehan, and A. S. Nizami. 2020. “A Review of Recent Developments in Renewable and Sustainable Energy Systems: Key Challenges and Future Perspective.” Renewable and Sustainable Energy Reviews 119: 109418. https://doi.org/10.1016/j.rser.2019.109418.
  • Mwasilu, F., J. J. Justo, E. K. Kim, T. D. Do, and J. W. Jung. 2014. “Electric Vehicles and Smart Grid Interaction: A Review on Vehicle to Grid and Renewable Energy Sources Integration.” Renewable and Sustainable Energy Reviews 34: 501–516. https://doi.org/10.1016/j.rser.2014.03.031.
  • Nahmmacher, P., E. Schmid, L. Hirth, and B. Knopf. 2016. “Carpe Diem: A Novel Approach to Select Representative Days for Long-Term Power System Modeling.” Energy 112: 430–442. https://doi.org/10.1016/j.energy.2016.06.081.
  • Nielsen, S. K., and K. Karlsson. 2007. “Energy Scenarios: A Review of Methods, Uses and Suggestions for Improvement.” International Journal of Global Energy Issues 27 (3): 302–322. https://doi.org/10.1504/IJGEI.2007.014350.
  • Østergaard, P. A. 2015. “Reviewing EnergyPLAN Simulations and Performance Indicator Applications in EnergyPLAN Simulations.” Applied Energy 154: 921–933. https://doi.org/10.1016/j.apenergy.2015.05.086.
  • Özmen Uysal, Ö. 2007. “Business Ethics Research with an Accounting Focus: A Bibliometric Analysis from 1988 to 2007.” Journal of Business Ethics 93: 137–160.
  • Persson, U. 2015. District Heating in Future Europe: Modelling Expansion Potentials and Mapping Heat Synergy Regions. Gothenburg, Sweden: Chalmers University of Technology.
  • Peters, H., and A. Van Raan. 1991. “Structuring Scientific Activities by co-Author Analysis.” Scientometrics 20 (1): 235–255. https://doi.org/10.1007/BF02018157.
  • Pfenninger, S. 2017a. “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 197: 1–13. https://doi.org/10.1016/j.apenergy.2017.03.051 .
  • Pfenninger, S. 2017b. “Energy Scientists Must Show Their Workings.” Nature 542 (7642): 393–393. https://doi.org/10.1038/542393a.
  • Pfenninger, S., J. DeCarolis, L. Hirth, S. Quoilin, and I. Staffell. 2017. “The Importance of Open Data and Software: Is Energy Research Lagging Behind?” Energy Policy 101: 211–215. https://doi.org/10.1016/j.enpol.2016.11.046.
  • Pfenninger, S., A. Hawkes, and J. Keirstead. 2014. “Energy Systems Modeling for Twenty-First Century Energy Challenges.” Renewable and Sustainable Energy Reviews 33: 74–86. https://doi.org/10.1016/j.rser.2014.02.003.
  • Pfenninger, S., and J. Keirstead. 2015. “Renewables, Nuclear, or Fossil Fuels? Scenarios for Great Britain’s Power System Considering Costs, Emissions and Energy Security.” Applied Energy 152: 83–93. https://doi.org/10.1016/j.apenergy.2015.04.102.
  • Pfenninger, S., and I. Staffell. 2016. “Long-term Patterns of European PV Output Using 30 Years of Validated Hourly Reanalysis and Satellite Data.” Energy 114: 1251–1265. https://doi.org/10.1016/j.energy.2016.08.060.
  • Pilkington, A., and R. Fitzgerald. 2006. “Operations Management Themes, Concepts and Relationships: A Forward Retrospective of IJOPM.” International Journal of Operations & Production Management 26 (11): 1255–1275. https://doi.org/10.1108/01443570610705854.
  • Poncelet, K., E. Delarue, D. Six, J. Duerinck, and W. D’haeseleer. 2016. “Impact of the Level of Temporal and Operational Detail in Energy-System Planning Models.” Applied Energy 162: 631–643. https://doi.org/10.1016/j.apenergy.2015.10.100.
  • Pourarshad, M., Y. Noorollahi, F. Atabi, and M. Panahi. 2021. “Sustainable Energy System Modelling with a High Renewable Energy Penetration Rate for Rich Oil Regions.” International Journal of Sustainable Energy 40 (5): 494–513. https://doi.org/10.1080/14786451.2020.1821684.
  • Pye, S., N. Sabio, and N. Strachan. 2015. “An Integrated Systematic Analysis of Uncertainties in UK Energy Transition Pathways.” Energy Policy 87: 673–684. https://doi.org/10.1016/j.enpol.2014.12.031.
  • Ringkjøb, H. K., P. M. Haugan, and I. M. Solbrekke. 2018. “A Review of Modelling Tools for Energy and Electricity Systems with Large Shares of Variable Renewables.” Renewable and Sustainable Energy Reviews 96: 440–459. https://doi.org/10.1016/j.rser.2018.08.002.
  • Small, H. 1973. “Co-citation in the Scientific Literature: A New Measure of the Relationship Between Two Documents.” Journal of the American Society for Information Science 24 (4): 265–269. https://doi.org/10.1002/asi.4630240406.
  • Sovacool, B. K., J. Axsen, and S. Sorrell. 2018. “Promoting Novelty, Rigor, and Style in Energy Social Science: Towards Codes of Practice for Appropriate Methods and Research Design.” Energy Research & Social Science 45: 12–42. https://doi.org/10.1016/j.erss.2018.07.007.
  • Staffell, I., and S. Pfenninger. 2016. “Using Bias-Corrected Reanalysis to Simulate Current and Future Wind Power Output.” Energy 114: 1224–1239. https://doi.org/10.1016/j.energy.2016.08.068.
  • Strachan, N., B. Fais, and H. Daly. 2016. “Reinventing the Energy Modelling–Policy Interface.” Nature Energy 1 (3): 1–3. https://doi.org/10.1038/nenergy.2016.12.
  • Sugiyama, M., S. Fujimori, K. Wada, K. Oshiro, E. Kato, R. Komiyama, and Y. Ju. 2021. “EMF 35 JMIP Study for Japan’s Long-Term Climate and Energy Policy: Scenario Designs and Key Findings.” Sustainability Science 16 (2): 355–374. https://doi.org/10.1007/s11625-021-00913-2.
  • Trutnevyte, E. 2016. “Does Cost Optimization Approximate the Real-World Energy Transition?” Energy 106: 182–193. https://doi.org/10.1016/j.energy.2016.03.038.
  • Tsay, M.-Y. 2009. “Citation Analysis of Ted Nelson’s Works and his Influence on Hypertext Concept.” Scientometrics 79 (3): 451–472. https://doi.org/10.1007/s11192-008-1641-7.
  • Uche, E., K. I. Okere, and N. Das. 2023. “Energy Efficiency and Carbon Neutrality Target in India: A Wavelet Quantile Correlation Perspective.” International Journal of Sustainable Energy 42 (1): 759–775. https://doi.org/10.1080/14786451.2023.2234051.
  • Usher, W., and N. Strachan. 2012. “Critical Mid-Term Uncertainties in Long-Term Decarbonisation Pathways.” Energy Policy 41: 433–444. https://doi.org/10.1016/j.enpol.2011.11.004.
  • Van Beeck, N. M. J. 2000. Classification of Energy Models. Tilburg: Tilburg University, Faculty of Economics and Business Administration.
  • Van Eck, N., and L. Waltman. 2010. “Software Survey: VOSviewer, a Computer Program for Bibliometric Mapping.” scientometrics 84 (2): 523–538. https://doi.org/10.1007/s11192-009-0146-3.
  • Weinand, J. M. 2020. “Reviewing Municipal Energy System Planning in a Bibliometric Analysis: Evolution of the Research Field Between 1991 and 2019.” Energies 13 (6): 1367. https://doi.org/10.3390/en13061367.
  • Wiese, F., S. Hilpert, C. Kaldemeyer, and G. Pleßmann. 2018. “A Qualitative Evaluation Approach for Energy System Modelling Frameworks.” Energy, Sustainability and Society 8 (1): 1–16. https://doi.org/10.1186/s13705-018-0154-3.
  • Wolfram, C., O. Shelef, and P. Gertler. 2012. “How Will Energy Demand Develop in the Developing World?” Journal of Economic Perspectives 26 (1): 119–138. https://doi.org/10.1257/jep.26.1.119.
  • Worighi, I., A. Maach, A. Hafid, O. Hegazy, and J. Van Mierlo. 2019. “Integrating Renewable Energy in Smart Grid System: Architecture, Virtualization and Analysis.” Sustainable Energy, Grids and Networks 18: 100226. https://doi.org/10.1016/j.segan.2019.100226.
  • Zahedi, R., A. Aslani, M. A. N. Seraji, and Z. Zolfaghari. 2022. “Advanced Bibliometric Analysis on the Coupling of Energetic Dark Greenhouse with Natural gas Combined Cycle Power Plant for CO2 Capture.” Korean Journal of Chemical Engineering 39 (11): 3021–3031. https://doi.org/10.1007/s11814-022-1233-x.
  • Zaman, A. 2018. “100% Variable Renewable Energy Power Systems: Survey of Possibilties.” Doctoral diss.
  • Zhang, L., J. Ling, and M. Lin. 2022. “Artificial Intelligence in Renewable Energy: A Comprehensive Bibliometric Analysis.” Energy Reports 8: 14072–14088. https://doi.org/10.1016/j.egyr.2022.10.347.
  • Zhang, L., J. Ling, and M. Lin. 2023a. “Carbon Neutrality: A Comprehensive Bibliometric Analysis.” Environmental Science and Pollution Research 30 (16): 45498–45514. https://doi.org/10.1007/s11356-023-25797-w.
  • Zhang, L., J. Ling, and M. Lin. 2023b. “Risk Management Research in East Asia: A Bibliometric Analysis.” International Journal of Intelligent Computing and Cybernetics 16 (3): 574–594.
  • Zhong, M., and M. Lin. 2022. Bibliometric Analysis for Economy in COVID-19 Pandemic. Fujian, China: Heliyon.