CoChat
Sign Up
Cited by 39

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Conflicting values in the smart electricity grid a comprehensive overview

de Wildt, T.E., Chappin, E.J.L., van de Kaa, G., Herder, P.M., van de Poel, I.R.·2019·Renewable and Sustainable Energy Reviews
DOI 10.1016/j.rser.2019.05.005
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.rser.2019.05.005

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Figures

Image 1
CC-BY-NC-ND · From the PDF
Fig. 1 Classi fi cation of value con fl icts by degree of severity of resulting acceptance issues.
Fig. 1 Classi fi cation of value con fl icts by degree of severity of resulting acceptance issues.CC-BY-NC-ND · From the PDF
Fig. 3 Classi fi cation of value con fl icts by required resources for their resolution.
Fig. 3 Classi fi cation of value con fl icts by required resources for their resolution.CC-BY-NC-ND · From the PDF

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Research works printed but not linked: 96

  1. Clastres, 2011, Smart grids: another step towards competition, energy security and climate change objectives, Energy Policy, 39, 5399, 10.1016/j.enpol.2011.05.024 · DOI
  2. Wüstenhagen, 2007, Social acceptance of renewable energy innovation : an introduction to the concept, Energy Policy, 35, 2683, 10.1016/j.enpol.2006.12.001 · DOI
  3. Tuballa, 2016, A review of the development of Smart Grid technologies, Renew Sustain Energy Rev, 59, 710, 10.1016/j.rser.2016.01.011 · DOI
  4. Devine-Wright, 2008, Reconsidering public attitudes and public acceptance of renewable energy technologies : a critical review, Taking Clim. Change Seriously: Low Carbon Future Electr. Sect., 443
  5. Broman Toft, 2014, Responsible technology acceptance: model development and application to consumer acceptance of Smart Grid technology, Appl Energy, 134, 392, 10.1016/j.apenergy.2014.08.048 · DOI
  6. Tuana, 2015, Coupled ethical-epistemic analysis in teaching ethics, Commun ACM, 58, 27, 10.1145/2835957 · DOI
  7. Van de Poel, 2009, Values in engineering design, vol. 9, 973
  8. de Wildt, 2018, A comprehensive approach to reviewing latent topics addressed by literature across multiple disciplines, Appl Energy, 228, 2111, 10.1016/j.apenergy.2018.06.082 · DOI
  9. Stern, 1994, The value basis of environmental concern, J Soc Issues, 50, 65, 10.1111/j.1540-4560.1994.tb02420.x · DOI
  10. Correljé, 2009, Public values in the energy sector: economic perspectives, Int J Public Policy, 4, 395, 10.1504/IJPP.2009.025079 · DOI
  11. Künneke, 2015, Understanding values embedded in offshore wind energy systems: toward a purposeful institutional and technological design, Environ Sci Policy, 53, 118, 10.1016/j.envsci.2015.06.013 · DOI
  12. Demski, 2015, Public values for energy system change, Glob Environ Chang, 34, 59, 10.1016/j.gloenvcha.2015.06.014 · DOI
  13. Taebi, 2016, Bridging the gap between social acceptance and ethical acceptability, Risk Anal, 37
  14. Söderholm, 2011, Offshore wind power policy and planning in Sweden, Energy Policy, 39, 518, 10.1016/j.enpol.2010.05.065 · DOI
  15. Munda, 2004, Social multi-criteria evaluation: methodological foundations and operational consequences, Eur J Oper Res, 158, 662, 10.1016/S0377-2217(03)00369-2 · DOI
  16. Martinez-Alier, 1998, Weak comparability of values as a foundation for ecological economics, Ecol Econ, 26, 277, 10.1016/S0921-8009(97)00120-1 · DOI
  17. Taebi, 2014, Responsible innovation as an endorsement of public values: the need for interdisciplinary research, J. Respons. Innov., 1, 118, 10.1080/23299460.2014.882072 · DOI
  18. Correljé, 2015, Flood risk management in The Netherlands after the 1953 flood: a competition between the public value(s) of water, J. Flood Risk Manage., 8, 99, 10.1111/jfr3.12087 · DOI
  19. Milchram, 2018, Energy justice and smart grid systems: evidence from The Netherlands and the United Kingdom, Appl Energy, 229, 1244, 10.1016/j.apenergy.2018.08.053 · DOI
  20. Dignum, 2016, Contested technologies and design for values: the case of shale gas, Sci Eng Ethics, 22, 1171, 10.1007/s11948-015-9685-6 · DOI
  21. Christen, 2017, A review of value-conflicts in cybersecurity : an assessment based on quantitative and qualitative literature analysis, ORBIT J., 1, 10.29297/orbit.v1i1.28 · DOI
  22. Blei, 2012, Probabilistic topic models, Commun ACM, 55, 77, 10.1145/2133806.2133826 · DOI · Paper page
  23. Yu, 2016, Smart grids: a cyber–physical systems perspective, Proc IEEE, 104, 1058, 10.1109/JPROC.2015.2503119 · DOI
  24. Pearson, 2011, Smart grid cyber security for Europe, Energy Policy, 39, 5211, 10.1016/j.enpol.2011.05.043 · DOI · Paper page
  25. Baghaee, 2016, Reliability/cost-based multi-objective Pareto optimal design of stand-alone wind/PV/FC generation microgrid system, Energy, 115, 1022, 10.1016/j.energy.2016.09.007 · DOI
  26. Oliver, 2017, The energy Trilemma and the smart grid: implications beyond the United States, asia and the pacific policy, Studies, 4, 70
  27. Karatayev, 2016, A review of current energy systems and green energy potential in Kazakhstan, Renew Sustain Energy Rev, 55, 491, 10.1016/j.rser.2015.10.078 · DOI
  28. Sharma, 2015, Performance analysis of smart metering for smart grid: an overview, Renew Sustain Energy Rev, 49, 720, 10.1016/j.rser.2015.04.170 · DOI
  29. Hu, 2016, Energy big data analytics and security: challenges and opportunities, IEEE Trans. Smart Grid, 7, 10.1109/TSG.2016.2563461 · DOI
  30. Chen, 2017, Between the technology acceptance model and sustainable energy technology acceptance model: investigating smart meter acceptance in the United States, Energy Res. Soc. Sci., 25, 93, 10.1016/j.erss.2016.12.011 · DOI
  31. Samad, 2016, Automated demand response for smart buildings and microgrids: the state of the practice and research challenges, Proc IEEE, 104, 726, 10.1109/JPROC.2016.2520639 · DOI
  32. Zhou, 2016, Smart home energy management systems: concept, configurations, and scheduling strategies, Renew Sustain Energy Rev, 61, 30, 10.1016/j.rser.2016.03.047 · DOI
  33. Haghighat Mamaghani, 2016, Techno-economic feasibility of photovoltaic, wind, diesel and hybrid electrification systems for off-grid rural electrification in Colombia, Renew Energy, 97, 293, 10.1016/j.renene.2016.05.086 · DOI
  34. Kyriakopoulos, 2016, Electrical energy storage systems in electricity generation: energy policies, innovative technologies, and regulatory regimes, Renew Sustain Energy Rev, 56, 1044, 10.1016/j.rser.2015.12.046 · DOI
  35. Marzband, 2017, A real-time evaluation of energy management systems for smart hybrid home Microgrids, Electr Power Syst Res, 143, 624, 10.1016/j.epsr.2016.10.054 · DOI
  36. Sichilalu, 2016, Optimal control of a fuel cell/wind/PV/grid hybrid system with thermal heat pump load, Sol Energy, 135, 59, 10.1016/j.solener.2016.05.028 · DOI
  37. Ren, 2016, Optimal operation of a grid-connected hybrid PV/fuel cell/battery energy system for residential applications, Energy, 113, 702, 10.1016/j.energy.2016.07.091 · DOI
  38. Yagcitekin, 2016, A double-layer smart charging strategy of electric vehicles taking routing and charge scheduling into account, Appl Energy, 167, 407, 10.1016/j.apenergy.2015.09.040 · DOI
  39. Nosratabadi, 2017, A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems, Renew Sustain Energy Rev, 67, 341, 10.1016/j.rser.2016.09.025 · DOI
  40. Mozafar, 2017, A simultaneous approach for optimal allocation of renewable energy sources and electric vehicle charging stations in smart grids based on improved GA-PSO algorithm, Sustain. Cities Soc., 32, 627, 10.1016/j.scs.2017.05.007 · DOI · Paper page
  41. Brettschneider, 2017, Preserving privacy in distributed energy management, Comput Sci Res Dev, 32, 159, 10.1007/s00450-016-0309-4 · DOI
  42. Ahmad, 2016, Building energy metering and environmental monitoring - a state-of-the-art review and directions for future research, Energy Build, 120, 85, 10.1016/j.enbuild.2016.03.059 · DOI
  43. Cascone, 2017, Ethical issues of monitoring sensor networks for energy efficiency in smart buildings: a case study, Energy Procedia, 134, 337, 10.1016/j.egypro.2017.09.540 · DOI
  44. Leszczyna, 2018, Cybersecurity and privacy in standards for smart grids – a comprehensive survey, Comput Stand Interfac, 56, 62, 10.1016/j.csi.2017.09.005 · DOI
  45. Martínez, 2017, A user-centric Internet of Things platform to empower users for managing security and privacy concerns in the internet of energy, Int J Distributed Sens Netw, 13, 1
  46. Salinas, 2016, Privacy-preserving energy theft detection in microgrids : a state estimation approach, IEEE Trans Power Syst, 31, 883, 10.1109/TPWRS.2015.2406311 · DOI
  47. Zhang, 2016, Day-ahead smart grid cooperative distributed energy scheduling with renewable and storage integration, IEEE Transact. Sustain. Energy, 7, 1739, 10.1109/TSTE.2016.2581167 · DOI
  48. Brown, 2014, Britain's smart meter programme: a case study in privacy by design, Int Rev Law Comput Technol, 28, 172, 10.1080/13600869.2013.801580 · DOI
  49. Chatterton, 2016, Mapping household direct energy consumption in the United Kingdom to provide a new perspective on energy justice, Energy Res. Soc. Sci., 18, 71, 10.1016/j.erss.2016.04.013 · DOI
  50. Simpson, 2016, Subsidies for residential solar photovoltaic energy systems in Western Australia: distributional, procedural and outcome justice, Renew Sustain Energy Rev, 65, 262, 10.1016/j.rser.2016.06.060 · DOI
  51. Nieto, 2016, Optimizing prices for small-scale distributed generation resources: a review of principles and design elements, Electr J, 29, 31, 10.1016/j.tej.2016.03.004 · DOI
  52. Oppenheim, 2016, The United States regulatory compact and energy poverty, Energy Res. Soc. Sci., 18, 96, 10.1016/j.erss.2016.04.022 · DOI
  53. Bednar, 2017, The intersection of energy and justice: modeling the spatial, racial/ethnic and socioeconomic patterns of urban residential heating consumption and efficiency in Detroit, Michigan, Energy Build, 143, 25, 10.1016/j.enbuild.2017.03.028 · DOI
  54. Botelho, 2016, Social sustainability of renewable energy sources in electricity production: an application of the contingent valuation method, Sustain. Cities Soc., 26, 429, 10.1016/j.scs.2016.05.011 · DOI
  55. Parisio, 2017, Cooperative MPC-based energy management for networked microgrids, IEEE Trans. Smart Grid, 8, 3066, 10.1109/TSG.2017.2726941 · DOI
  56. Oh, 2017, A framework for consumer electronics as a service (CEaaS): a case of clustered energy storage systems, IEEE Trans Consum Electron, 63, 162, 10.1109/TCE.2017.014846 · DOI
  57. Zhu, 2016, Managing demand uncertainty with cost-for-deviation retail pricing, Energy Build, 118, 46, 10.1016/j.enbuild.2016.02.025 · DOI
  58. Mahmoud, 2017, Privacy-preserving power injection over a hybrid AMI/LTE smart grid network, IEEE Internet Things J., 4, 870, 10.1109/JIOT.2016.2593453 · DOI
  59. Zhang, 2016, Data gathering optimization by dynamic sensing and routing in rechargeable sensor networks, IEEE/ACM Trans Netw, 24, 1632, 10.1109/TNET.2015.2425146 · DOI
  60. AlSkaif, 2017, Reputation-based joint scheduling of households appliances and storage in a microgrid with a shared battery, Energy Build, 138, 228, 10.1016/j.enbuild.2016.12.050 · DOI
  61. Wu, 2017, Profit allocation analysis among the distributed energy network participants based on Game-theory, Energy, 118, 783, 10.1016/j.energy.2016.10.117 · DOI
  62. Yaagoubi, 2017, Energy trading in the smart grid: a distributed game-theoretic approach, Can J Electr Comput Eng, 40, 57, 10.1109/CJECE.2016.2583923 · DOI
  63. Wang, 2016, Cooperative planning of renewable generations for interconnected microgrids, IEEE Trans. Smart Grid, 7, 2486, 10.1109/TSG.2016.2552642 · DOI
  64. Wu, 2017, Benefit allocation for distributed energy network participants applying game theory based solutions, Energy, 119, 384, 10.1016/j.energy.2016.12.088 · DOI
  65. Li, 2016, Regional winners and losers in future UK energy system transitions, Energy Strateg. Rev., 13–14, 11, 10.1016/j.esr.2016.08.002 · DOI
  66. Schweizer, 2016, Public participation for infrastructure planning in the context of the German “Energiewende”, Util Pol, 43, 206, 10.1016/j.jup.2014.07.005 · DOI
  67. Posada, 2017, Aqueous batteries as grid scale energy storage solutions, Renew Sustain Energy Rev, 68, 1174, 10.1016/j.rser.2016.02.024 · DOI
  68. Huang, 2016, Multifunctional energy storage and conversion devices, Adv Mater, 8344, 10.1002/adma.201601928 · DOI
  69. Jung, 2016, Social acceptance of renewable energy technologies for buildings in the Helsinki Metropolitan Area of Finland, Renew Energy, 99, 813, 10.1016/j.renene.2016.07.006 · DOI
  70. IqtiyaniIlham, 2017, European smart grid prospects, policies, and challenges, Renew Sustain Energy Rev, 67, 776, 10.1016/j.rser.2016.09.014 · DOI
  71. Jokar, 2016, Electricity theft detection in AMI using customers' consumption patterns, IEEE Trans. Smart Grid, 7, 216, 10.1109/TSG.2015.2425222 · DOI
  72. Fang, 2017, More reliable lithium-sulfur batteries: status, solutions and prospects, Adv Mater, 29, 1, 10.1002/adma.201606823 · DOI
  73. Zhang, 2016, A review of topologies of three-port DC-DC converters for the integration of renewable energy and energy storage system, Renew Sustain Energy Rev, 56, 388, 10.1016/j.rser.2015.11.079 · DOI
  74. Winsberg, 2017, Redox-flow batteries: from metals to organic redox-active materials, Angew Chem Int Ed, 56, 686, 10.1002/anie.201604925 · DOI
  75. Hannan, 2017, Review of energy storage systems for electric vehicle applications: issues and challenges, Renew Sustain Energy Rev, 69, 771, 10.1016/j.rser.2016.11.171 · DOI
  76. Zhang, 2017, Model predictive control for power management in a plug-in hybrid electric vehicle with a hybrid energy storage system, Appl Energy, 185, 1654, 10.1016/j.apenergy.2015.12.035 · DOI
  77. Zuo, 2017, Battery-supercapacitor hybrid devices: recent progress and future prospects, Adv. Sci., 4, 1, 10.1002/advs.201600539 · DOI
  78. Eltamaly, 2016, A novel smart grid theory for optimal sizing of hybrid renewable energy systems, Sol Energy, 124, 26, 10.1016/j.solener.2015.11.016 · DOI
  79. Díaz, 2017, Centralized control architecture for coordination of distributed renewable generation and energy storage in islanded AC microgrids, IEEE Trans Power Electron, 32, 5202, 10.1109/TPEL.2016.2606653 · DOI
  80. Wang, 2016, Energy management system for stand-alone diesel-wind-biomass microgrid with energy storage system, Energy, 97, 90, 10.1016/j.energy.2015.12.099 · DOI
  81. Jin, 2018, Microgrid to enable optimal distributed energy retail and end-user demand response, Appl Energy, 210, 1321, 10.1016/j.apenergy.2017.05.103 · DOI
  82. Dincer, 2017, Innovation in hydrogen production, Int J Hydrogen Energy, 42, 14843, 10.1016/j.ijhydene.2017.04.107 · DOI
  83. Wolsink, 2007, Planning of renewables schemes: deliberative and fair decision-making on landscape issues instead of reproachful accusations of non-cooperation, Energy Policy, 35, 2692, 10.1016/j.enpol.2006.12.002 · DOI
  84. Voort, 2015, Social impacts of earthquakes caused by gas extraction in the Province of Groningen, The Netherlands, Environ Impact Assess Rev, 50, 1, 10.1016/j.eiar.2014.08.008 · DOI
  85. Wolsink, 2007, Wind power implementation: the nature of public attitudes: equity and fairness instead of ’backyard motives', Renew Sustain Energy Rev, 11, 1188, 10.1016/j.rser.2005.10.005 · DOI
  86. Haggett, 2011, Understanding public responses to offshore wind power, Energy Policy, 39, 503, 10.1016/j.enpol.2010.10.014 · DOI
  87. Devine-Wright, 2010, Disruption to place attachment and the protection of restorative environments: a wind energy case study, J Environ Psychol, 30, 271, 10.1016/j.jenvp.2010.01.008 · DOI
  88. Bidwell, 2013, The role of values in public beliefs and attitudes towards commercial wind energy, Energy Policy, 58, 189, 10.1016/j.enpol.2013.03.010 · DOI
  89. Koirala, 2016, Energetic communities for community energy: a review of key issues and trends shaping integrated community energy systems, Renew Sustain Energy Rev, 56, 722, 10.1016/j.rser.2015.11.080 · DOI
  90. Mullen, 2016, Mobility justice in low carbon energy transitions, Energy Res. Soc. Sci., 18, 109, 10.1016/j.erss.2016.03.026 · DOI
  91. Sonnberger, 2017, Local and socio-political acceptance of wind farms in Germany, Technol Soc, 51, 56, 10.1016/j.techsoc.2017.07.005 · DOI
  92. Healy, 2017, Politicizing energy justice and energy system transitions: fossil fuel divestment and a “just transition”, Energy Policy, 108, 451, 10.1016/j.enpol.2017.06.014 · DOI
  93. Davis, 1991, Agents without principles? The spread of the poison pill through the intercorporate network, Adm Sci Q, 36, 583, 10.2307/2393275 · DOI
  94. Stern, 1999, A value-belief-norm theory of support for social movements: the case of environmentalism, Hum Ecol Rev, 6, 81
  95. Ruse, 1986, Evolutionary ethics: a phoenix arisen, Zygon, 21, 95, 10.1111/j.1467-9744.1986.tb00736.x · DOI
  96. Holland, 2006, Studying complex adaptive systems, J Syst Sci Complex, 19, 1, 10.1007/s11424-006-0001-z · DOI

Cited by

Sorted by citations

Metadata

Authors
de Wildt, T. E., Chappin, E. J. L., van de Kaa, G., Herder, P. M., & van de Poel, I. R.
Venue
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Published
2019-09
Volume
111
Pages
184-196
ISSN
1364-0321
DOI
10.1016/j.rser.2019.05.005
Cited by
39
References
2
Language
en
Licence
Funders
  • Netherlands Organization for Scientific Research (313-99- 305)
  • Amsterdam Institute for Advanced Metropolitan Solutions
  • TFECo B.V

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review