Mohassel, R.R., Fung, A., Mohammadi, F., Raahemifar, K., A survey on advanced metering infrastructure. Int. J. Electr. Power Energy Syst. 63 (2014), 473–484.
Luthra, S., Kumar, S., Kharb, R., Ansari, M.F., Shimmi, S., Adoption of smart grid technologies: An analysis of interactions among barriers. Renew. Sustain. Energy Rev. 33 (2014), 554–565.
Fang, X., Misra, S., Xue, G., Yang, D., Smart grid — The new and improved power grid: A survey. IEEE Commun. Surv. Tutor. 14:4 (2012), 944–980.
Mihaylov, M., Jurado, S., Van Moffaert, K., Avellana, N., Nowe, A., NRG-X-Change: A novel mechanism for trading of renewable energy in smart grids. Helfert, M., Krempels, K.-H., Donnellan, B., (eds.) 3rd International Conference on Smart Grids and Green IT Systems, 2014, Scite Press, 101–106.
Mollah, M.B., Zhao, J., Niyato, D., Lam, K.-Y., Zhang, X., Ghias, A.M.Y.M., Koh, L.H., Yang, L., Blockchain for future smart grid: A comprehensive survey. IEEE Internet Things J. 8:1 (2021), 18–43.
Andoni, M., Robu, V., Flynn, D., Abram, S., Geach, D., Jenkins, D., McCallum, P., Peacock, A., Blockchain technology in the energy sector: A systematic review of challenges and opportunities. Renew. Sustain. Energy Rev. 100 (2019), 143–174.
Gordijn, J., Akkermans, H., Business models for distributed generation in a liberalized market environment. Electr. Power Syst. Res. 77:9 (2007), 1178–1188.
Nordling, A., Pädam, S., af Burén, C., Jörgensen, P., Social Costs and Benefits of Smart Grid Technologies: Tech. rep., 2018, IEA-International Smart Grid Action Network URL https://www.iea-isgan.org/wp-content/uploads/2017/09/Task-4.5-Deliverable-1-SWE_IEA-Annex3_Social_Cost_and_Benefits_of_Smart_Grid_Technologies.pdf. Date last accessed 06-08-2021.
Giordano, V., Onyeji, I., Fulli, G., Jimenez, M.S., Filiou, C., Guidelines for Conducting a Cost-Benefit Analysis of Smart Grid Projects: Tech. rep., 2012, Publications Office of the European Union URL https://ses.jrc.ec.europa.eu/publications/reports/guidelines-conducting-cost-benefit-analysis-smart-grid-projects. Date last accessed 06-08-2021.
Léonard, C., Chartres, S., Chiappini, F., Drouineau, M., Nekrassov, A., Hadjsaïd, N., Methodology, results and key success factors of smart grid assessment in France. 2016 IEEE Power and Energy Society General Meeting, PESGM, 2016, IEEE, 1–5.
Niesten, E., Alkemade, F., How is value created and captured in smart grids? A review of the literature and an analysis of pilot projects. Renew. Sustain. Energy Rev. 53 (2016), 629–638.
Razo-Zapata, I.S., Shrestha, A., Proper, E., On valuation of smart grid architectures: An enterprise engineering perspective. Reinhartz-Berger, I., Gulden, J., Nurcan, S., Guédria, W., Bera, P., (eds.) Enterprise, Business-Process and Information Systems Modeling: 18th Int. Conf., BPMDS 2017, 22nd Int. Conf. EMMSAD 2017, Held At CAiSE 2017, Proceedings, 2017, Springer, Cham, 346–353.
Kaczmarek-Heß, M., de Kinderen, S., Ma, Q., Razo-Zapata, I.S., Modeling in support of multi-perspective valuation of smart grid initiatives. 2018 12th International Conference on Research Challenges in Information Science, RCIS, 2018, IEEE, 1–12.
EPRI, M., Methodological Approach for Estimating the Benefits and Costs of Smart Grid Demonstration Projects: Tech. rep., 2010, US EPRI URL https://www.energy.gov/sites/prod/files/2016/10/f33/Methodological_Approach_for_Estimating_Benefits_Costs_Smart_Jan_2010_0.pdf. Date last accessed 06-08-2021.
Mylopoulos, J., Conceptual modelling and telos. Loucopoulos, P., Zicari, R., (eds.) Conceptual Modelling, Databases, and CASE: An Integrated View of Information System Development, 1992, John Wiley & Sons, 49–68.
Hevner, A.R., March, S.T., Park, J., et al. Design science in information systems research. MIS Q. 28:1 (2004), 75–105.
Österle, H., Becker, J., Frank, U., Hess, T., Karagiannis, D., Krcmar, H., Loos, P., Mertens, P., Oberweis, A., Sinz, E.J., Memorandum on design-oriented information systems research. Eur. J. Inf. Syst. 20:1 (2011), 7–10.
Wieringa, R.J., Design Science Methodology for Information Systems and Software Engineering. 2014, Springer.
Kitchenham, B., Charters, S., Guidelines for performing Systematic Literature Reviews in Software Engineering: Tech. rep. EBSE 2007-001., 2007, Keele University and Durham University Joint Report URL http://www.dur.ac.uk/ebse/resources/Systematic-reviews-5-8.pdf.
Kitchenham, B., Pretorius, R., Budgen, D., Pearl Brereton, O., Turner, M., Niazi, M., Linkman, S., Systematic literature reviews in software engineering - a tertiary study. Inf. Softw. Technol. 52:8 (2010), 792–805.
Okoli, C., A guide to conducting a standalone systematic literature review. Communications of the Association for Information Systems, 2015, 37.
Falagas, M.E., Pitsouni, E.I., Malietzis, G.A., Pappas, G., Comparison of PubMed, scopus, web of science, and google scholar: strengths and weaknesses. FASEB J. 22:2 (2008), 338–342.
F. Chiappini, State of the art and lessons learnt from the costbenefit analysis methods of distributed resources integration in Europe, in: 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies, 2011, pp. 1–8.
Moretti, M., Djomo, S.N., Azadi, H., May, K., De Vos, K., Van Passel, S., Witters, N., A systematic review of environmental and economic impacts of smart grids. Renew. Sustain. Energy Rev. 68 (2017), 888–898, 10.1016/j.rser.2016.03.039.
V. Venizelou, S. Theocharides, G. Makrides, P. Georgiou, N. Ayiomamitis, V. Efthymiou, G.E. Georghiou, Smart Metering and time-varying pricing deployment Cost-Benefit Analysis from a real pilot-implementation, in: 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC a Joint Conference of 45th IEEE PVSC, 28th PVSEC 34th EU PVSEC, 2018, pp. 2430–2434.
Zhou, L., Li, F., Gu, C., Hu, Z., Le Blond, S., Cost/benefit assessment of a smart distribution system with intelligent electric vehicle charging. IEEE Trans. Smart Grid 5:2 (2013), 839–847.
Marnay, C., Liu, L., Yu, J., Zhang, D., Mauzy, J., Shaffer, B., Dong, X., Agate, W., Vitiello, S., Liu, X., et al. Benefits Analysis of Smart Grid Projects: Tech. Rep., 2016, Lawrence Berkeley National Laboratory URL https://www.osti.gov/servlets/purl/1398436. Date last accessed 06-08-2021.
C. Chardonnet, B. de Boissezon, GDF SUEZ — GreenLys WP2: Estimating the benefits and costs of a smart electrical system in French Urban areas in 2020–2030, in: 2013 IEEE Grenoble Conference, 2013, pp. 1–6.
McGranaghan, M., EPRI smart grid demonstration initiative-integrating DER with T&D operations. CIRED 2009-the 20th International Conference and Exhibition on Electricity Distribution-Part 2, 2009, IET, 1–14.
Livieratos, S., Vogiatzaki, V.-E., Cottis, P.G., A generic framework for the evaluation of the benefits expected from the smart grid. Energies 6:2 (2013), 988–1008.
Alaqeel, T., Suryanarayanan, S., A comprehensive cost-benefit analysis of the penetration of smart grid technologies in the Saudi Arabian electricity infrastructure. Util. Policy, 60, 2019, 100933.
Bossart, S., Bean, J., Metrics and benefits analysis and challenges for smart grid field projects. IEEE 2011 EnergyTech, 2011, IEEE, 1–5.
Karali, N., Zhang, D., Ren, G., Shaffer, B., Clampitt, K., Yu, J., Yinger, R., Marnay, C., Benefits analysis of smart grid demonstration projects. 2016 China International Conference on Electricity Distribution, CICED, 2016, IEEE, 1–5.
Sun, Q., Ge, X., Liu, L., Xu, X., Zhang, Y., Niu, R., Zeng, Y., Review of smart grid comprehensive assessment systems. Energy Procedia 12 (2011), 219–229.
Pilo, F., Troncia, M., Combined MC-CBA Methodology for Decision Making on Smart Grid: Tech. Rep., 2018, IEA-International Smart Grid Action Network URL https://www.iea-isgan.org/wp-content/uploads/2013/03/Task-4.5-Deliverable-3-ITA-DIEE_Combined_MC-CBA_methodology_for_decision_making_on_Smart_Grid.pdf. Date last accessed 06-08-2021.
Troncia, M., Chowdhury, N., Pilo, F., Gianinoni, I.M., A joint multi criteria - cost benefit analysis for project selection on smart grids. 2018 AEIT International Annual Conference, 2018, IEEE, 1–6.
Good, N., Ceseña, E.A.M., Heltorp, C., Mancarella, P., A transactive energy modelling and assessment framework for demand response business cases in smart distributed multi-energy systems. Energy 184 (2019), 165–179, 10.1016/j.energy.2018.02.089.
Gómez, I., Riaño, S., Madina, C., Rossi, M., Kuusela, P., Koponen, P., Aghaie, H., Migliavacca, G., Rivero, E., Xu, H., et al. Cost-Benefit Analysis of the Selected National Cases: D 4. 3: Tech. Rep., 2019, The SmartNet H2020 project consortium URL https://strathprints.strath.ac.uk/id/eprint/68899. Date last accessed 28-01-2020.
Kartseva, V., Soetendal, J., Gordijn, J., Distributed Generation Business Modelling: Tech. Rep., 2004, VU University Amsterdam URL http://research.e3value.com/docs/misc/VUA_DGB_WP05_01_01.pdf. Date last accessed 06-08-2021.
Horkoff, J., Yu, E., Comparison and evaluation of goal-oriented satisfaction analysis techniques. Requir. Eng. 18:3 (2013), 199–222.
Kaczmarek-Heß, M., De Kinderen, S., A multilevel model of IT platforms for the needs of enterprise IT landscape analyses. Bus. Inf. Syst. Eng. 59:5 (2017), 315–329.
Goepel, K.D., Implementation of an online software tool for the analytic hierarchy process (AHP-OS). Int. J. Anal. Hierarchy Process, 10(3), 2018.
Frank, U., Multi-perspective enterprise modeling: Foundational concepts, prospects and future research challenges. SoSyM 13:3 (2014), 941–962.
Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S., A design science research methodology for information systems research. J. Manage. Inf. Syst. 24:3 (2007), 45–77.
Malavolta, I., Lago, P., Muccini, H., Pelliccione, P., Tang, A., What industry needs from architectural languages: A survey. IEEE Trans. Softw. Eng. 39:6 (2013), 869–891.
SGAM, I., Smart Grid Reference Architecture: Tech. Rep., 2012, CEN-CENELEC-ETSI Smart Grid Coordination Group URL https://ec.europa.eu/energy/sites/ener/files/documents/xpert_group1_reference_architecture.pdf. Date last accessed 11-02-2020.
Gottschalk, M., Uslar, M., Delfs, C., The Use Case and Smart Grid Architecture Model Approach: The IEC 62559-2 Use Case Template and the SGAM Applied in Various Domains. first ed., 2017, Springer.
R. Santodomingo, M. Uslar, A. Goring, M. Gottschalk, L. Nordstrom, A. Saleem, M. Chenine, SGAM-based methodology to analyse Smart Grid solutions, in: Energy Conference (ENERGYCON), 2014 IEEE International, 2014, pp. 751–758.
Gottschalk, M., Uslar, M., Delfs, C., Future applications of the results from the EU mandate M/490. The Use Case and Smart Grid Architecture Model Approach: The IEC 62559-2 Use Case Template and the SGAM Applied in Various Domains, 2017, Springer, 85–90.
Sandkuhl, K., Stirna, J., Persson, A., Wißotzki, M., Enterprise Modeling: Tackling Business Challenges with the 4EM Method. 2014, Springer, Berlin.
The Open Group, K., ArchiMate 2.1 Specification: Open Group Standard The Open Group Series, 2013, Van Haren, Zaltbommel.
SoftwareAG, K., ARIS method manual v.10. 2017 Software AG.
Lankhorst, M., Enterprise Architecture At Work: Modeling, Communication and Analysis. third ed., 2013, Springer.
Iacob, M.-E., Meertens, L.O., Jonkers, H., Quartel, D.A., Nieuwenhuis, L.J., van Sinderen, M.J., From enterprise architecture to business models and back. SOSYM 13:3 (2014), 1059–1083.
Caetano, A., Antunes, G., Pombinho, J., Bakhshandeh, M., Granjo, J., Borbinha, J.L., da Silva, M.M., Representation and analysis of enterprise models with semantic techniques: an application to ArchiMate, e3value and business model canvas. KAIS 50:1 (2017), 315–346, 10.1007/s10115-016-0933-0.
de Kinderen, S., Gaaloul, K., Proper, H.A., Bridging value modelling to ArchiMate via transaction modelling. Softw. Syst. Model. 13:3 (2014), 1043–1057.
Quartel, D., Steen, M.W., Lankhorst, M., IT portfolio valuation-using enterprise architecture and business requirements modeling. 14th Int. Conf. EDOC, 2010, IEEE, 3–13.
Overbeek, S., Frank, U., Köhling, C., A language for multi-perspective goal modelling: Challenges, requirements and solutions. CSI 38 (2015), 1–16, 10.1016/j.csi.2014.08.001.
Heise, D., Unternehmensmodell-Basiertes IT-Kostenmanagement Als Bestandteil Eines Integrativen IT-Controllings. 2013, Logos, Berlin.
de Kinderen, S., Kaczmarek-Heß, M., Enterprise modeling in support of SOA migration analysis. EMISA 13:1 (2018), 1–36.
Gordijn, J., Yu, E., van der Raadt, B., E-service design using i* and e3value modeling. IEEE Softw. 23:3 (2006), 26–33.
Geerts, G.L., McCarthy, W.E., An ontological analysis of the economic primitives of the extended-REA enterprise information architecture. Int. J. Account. Inf. Syst. 3:1 (2002), 1–16, 10.1016/S1467-0895(01)00020-3.
Johnson, P., Iacob, M.E., Välja, M., van Sinderen, M., Magnusson, C., Ladhe, T., A method for predicting the probability of business network profitability. Inf. Syst. E-Bus. Manag. 12:4 (2014), 567–593.
Razo-Zapata, I.S., Gordijn, J., de Leenheer, P., Wieringa, R., e3service: A critical reflection and future research. Bus. Inf. Syst. Eng. 57:1 (2015), 51–59.
Hruby, P., Model-Driven Design using Business Patterns. 2006, Springer.
Gordijn, J., Akkermans, J., e3-value: Design and evaluation of e-business models. IEEE Intell. Syst. 16 (2001), 11–17 https://doi.ieeecomputersociety.org/10.1109/5254.941353.
Pijpers, V., de Leenheer, P., Gordijn, J., Akkermans, H., Using conceptual models to explore business-ICT alignment in networked value constellations. RE 17:3 (2012), 203–226.
E. Yu, Towards modelling and reasoning support for early-phase requirements engineering, in: Requirements Engineering, 1997., Proceedings of the Third IEEE International Symposium on, 1997, pp. 226–235.
Amyot, D., Ghanavati, S., Horkoff, J., Mussbacher, G., Peyton, L., Yu, E., Evaluating goal models within the goal-oriented requirement language. Int. J. Intell. Syst. 25:8 (2010), 841–877.
Bresciani, P., Perini, A., Giorgini, P., Giunchiglia, F., Mylopoulos, J., Tropos: An agent-oriented software development methodology. Auton. Agents Multi-Agent Syst. 8:3 (2004), 203–236.
Horkoff, J., Aydemir, F.B., Cardoso, E., Li, T., Maté, A., Paja, E., Salnitri, M., Piras, L., Mylopoulos, J., Giorgini, P., Goal-oriented requirements engineering: an extended systematic mapping study. Requir. Eng. 24:2 (2019), 133–160, 10.1007/s00766-017-0280-z.
ITU-T, J., User requirements notation (URN)–language definition. 2008 http://www.itu.int/rec/T-REC-Z.151/en. Date last accessed 11-02-2020.
Goldkuhl, G., Karlsson, F., Method engineering as design science. J. Assoc. Inf. Syst., 21(5), 2020, 4.