References
- Abrahamse, W., Steg, L., Vlek, C., & Rothengatter, J. A. (2005). A review of intervention studies aimed at household energy conservation. Journal of Environmental Psychology, 25(3), 273–291.
- Alvial-Palavicino, C., Garrido-Echeverría, N., Jiménez-Estévez, G., Reyes, L., Palma-Behnke, R. (2011). A methodology for community engagement in the introduction of renewable based smart microgrid. Energy for Sustainable Development, 15(3), 314–323.
- Bohn, J., Coroamă, V., Langheinrich, M., Mattern, F., Rohs, M. (2004). Living in a world of smart everyday objects—Social, economic, and ethical implications. Human and Ecological Risk Assessment: An International Journal, 10(5), 763–785.
- Brodie, R. J., Ilic, A., Juric, B., & Hollebeek, L. (2013). Consumer engagement in a virtual brand community: An exploratory analysis. Journal of Business Research, 66(1), 105–114.
- Buchholz, B., Engler, A., Hatziargyriou, N., Scholtes, J., Schluecking, U., Furones Fartos, I. (2006). Lessons learned: European pilot installations for distributed generation. An overview by the IRED cluster. CIGRE paper C6–302, Paris.
- Barras, L., Gordon, R. (2008). Stakeholder perceptions of a SuperSmart Grid. Preliminary results of the survey. Postdam Institute for Climate Impact Research, European Climate Forum, Postdam.
- Cardenas, J. A., Gemoets, L., Ablanedo Rosas, J. H., Sarfi, R. (2014). A literature survey on Smart Grid distribution: An analytical approach. Journal of Cleaner Production, 65, 202–216.
- Caron, S., & Kesidis, G. (2010). Incentive-based energy consumption scheduling algorithms for the smart grid. IEEE International Conference on Smart Grid Communications, 4–6 Oct. 2010. pp. 391–396.
- Chao, H. (2010). Price-Responsive Demand Management for a Smart Grid World. The Electricity Journal, 23(1), 7–20.
- Chicco, G. (2010). Challenges for smart distribution systems: data representation and optimization objectives. 2010 12th International Conference on Optimization of Optimization of Electrical and Electronic Equipment (OPTIM), 20–22 May 2010, Brasov, Romania, pp. 1236–1244.
- Cho, Y. N., Thyroff, A., Rapert, M. I., Park, S. Y., & Lee, H. J. (2013). To be or not to be green: Exploring individualism and collectivism as antecedents of environmental behavior. Journal of Business Research, 66, 1052–1059.
- Clark, C. F., Kotchen, M. J., & Moore, M. R. (2003). Internal and external influences on proenvironmental behavior: participation in a green electricity program. Journal of Environmental Psychology, 23(3), 237–246.
- Clastres, C. (2011). Smart grids: Another step towards competition, energy security and climate change objectives. Energy Policy, 39(9), 5399–5408.
- Coll-Mayor, D., Paget, M., Lightner, M. (2007). Future intelligent power grids: Analysis of the vision in the European Union and the United States. Energy Policy, 35(4), 2453–2465.
- Darby, S. J., McKenna, E. (2012). Social implications of residential demand response in cool temperate climates. Energy Policy, 49, 759–769.
- De Castro, L., & Dutra, J. (2013). Paying for the smart grid. Energy Economics, 40(1), S74–S84.
- Depuru, S. S. S. R., Wang, L., Devabhaktuni, V. (2011). Smart meters for power grid: Challenges, issues, advantages and status. Renewable and Sustainable Energy Reviews, 15, 2736–2742.
- Dupont, B., De Jonghe, C., Kessels, K., Belmans, R. (2011). Short-term consumer benefits of dynamic pricing. 8th International Conference on the European Energy Market, 25–27 May 2011, Zagreb, Croatia, pp. 216–221.
- Ek, K. (2005). Public and private attitudes towards “green” electricity: the case of Swedish wind power. Energy Policy, 33(13), 1677–1689.
- El-Hawary, M. E. (2014). The smart grid—state-of-the-art and future trends. Electric Power Components and Systems, 42(3–4), 239–250.
- Ericsson, G. N. (2010). Cyber security and power system communication—essential parts of a smart grid infrastructure. IEEE Transactions on Power Deliver, 25(3), 1501–1507.
- European Commission. (1996). Directive 96/92/EC of the European Parliament and of the Council of 19 December 1996 concerning common rules for the internal market in electricity. O J L, 27, 20–29.
- European Commission Task Force for Smart Grids, Expert Group 1. (2010). Functionalities of smart grids and smart meters. Final deliverable, pag. 6, Brussels. Retrieved from http://www.gt-engineering.it/uploads/allegati/25expert_group1.pdf
- European Commission Smart Grid Task Force. (2009). European task force for the implementation of smart grids into the European internal market. Retrieved from https://ec.europa.eu/energy/sites/ener/files/documents/mission_and_workprogramme.pdf
- Fadaeenejad, M., Saberian, A. M., Fadaee, M., Radzi, M. A. M., Hizam, H., AbKadir M. Z. A. (2014). The present and future of smart power grids in developing countries. Renewable and Sustainable Energy Reviews, 29, 828–834.
- Faruqui, A., Hledik, R., & Tsoukalis, J. (2009). The power of dynamic pricing. The Electricity Journal, 22(3), 42–56.
- Faruqui, A., Sergici, S., Sharif, A. (2010a). The impact of informational feedback on energy consumption—A survey of the experimental evidence. Energy, 35(4), 1598–1608.
- Faruqui, A., Harris, D., Hledik, R. (2010b). Unlocking the €53 billion savings from smart meters in the EU: How increasing the adoption of dynamic tariffs could make or break the EU's smart grid investment. Energy Policy, 38(10), 6222–6231.
- Geelen, D., Reinders, A., Keyson, D. (2013). Empowering the end-user in smart grids: Recommendations for the design of products and services. Energy Policy, 61, 151–161.
- Gerpott, T. J., & Paukert, M. (2013). Determinants of willingness to pay for smart meters: An empirical analysis of household customers in Germany. Energy Policy, 61, 483–495.
- Grijalva, S., & Tariq, M. U. (2011). Prosumer-based smart grid architecture enables a flat, sustainable electricity industry. 2011 IEEE PES Innovative Smart Grid Technologies (ISGT), 1–6.
- Hartmann, P., & Apaolaza-Ibáñez, V. (2012). Consumer attitude and purchase intention toward green energy brands: The roles of psychological benefits and environmental concern. Journal of Business Research, 65(9), 1254–1263.
- Hledík, R. (2009). How green is the smart grid? The Electricity Journal, 22(3), 29–41.
- Honebein, P. C., Cammarano, R. F., Boice, C. (2011). Building a social roadmap for the smart grid. The Electricity Journal, 24(4), 78–85.
- International Energy Agency. (2014). World Energy Investment Outlook 2014, Special Report. Organization for Economic Cooperation and Development, Paris, France.
- Jackson, T. (2005). Motivating sustainable consumption—a review of evidence on consumer behaviour and behavioural change. Centre for Environmental Strategy, University of Surrey. Retrieved from www.worldresourcesforum.org/files/file/Jackson%20-%20Motivating%20Sustainable%20Consumption%20(abstract-chapter11-chapter12).pdf
- Kaldellis, J. K. (2005). Social attitude towards wind energy applications in Greece. Energy Policy, 33(5), 595–602.
- Kanchev, H., Lu, D., Colas, F., Lazarov, V., & Francois, B. (2011). Energy management and operational planning of a microgrid with a PV-based active generator for smart grid applications. IEEE Transactions on Industrial Electronics, 58(10), 4583–4592.
- Kaufmann, S., Künzel, K., Loock, M. (2013). Customer value of smart metering: Explorative evidence from a choice-based conjoint study in Switzerland. Energy Policy, 53, 229–239.
- Kraft, M. E., & Clary, B. B. (1991). Citizen Participation and the Nimby Syndrome: Public Response to Radioactive Waste Disposal. The Western Political Quarterly, 44(2), 299–328.
- Krishnamurti, T., Schwartz, D., Davis, A., Fischhoff, B., de Bruin, W. B., Lave, L., & Wang, J. (2012). Preparing for smart grid technologies: A behavioral decision research approach to understanding consumer expectations about smart meters. Energy Policy, 41, 790–797.
- Kursawe, K., Danezis, G., Kohlweiss, M. (2011). Privacy-friendly aggregation for the smart-grid. Privacy enhancing technologies, Volume 6794 of the series Lecture Notes in Computer Science pp. 175–191.
- Ida, T., Murakami, K., & Tanaka, M. (2014). A stated preference analysis of smart meters, photovoltaic generation, and electric vehicles in Japan: Implications for penetration and GHG reduction. Energy Research & Social Science, 2, 75–89.
- International Energy Agency. (2014). World Energy Investment Outlook 2014, OECD/IEA, Paris.
- Leary, R. B., Vann, R. J., Mittelstaedt, J. D., Murphy, P. E., & Sherry, J. F. (2014). Changing the marketplace one behavior at a time: Perceived marketplace influence and sustainable consumption. Journal of Business Research, 67(9), 1953–1958.
- Lin, C. C., Yang, C. H., Shyua, J. Z. (2013). A comparison of innovation policy in the smart grid industry across the pacific: China and the USA. Energy Policy, 57, 119–132.
- Lund, H., Andersen, A. N., ∅stergaard, P. A., Mathiesen, B. V., Connolly, D. (2012). From electricity smart grids to smart energy systems – A market operation based approach and understanding. Energy, 42(1), 96–102.
- Luthra, S., Kumar, S., Kharb, R., Ansari, Md. F., Shimmi, S. L. (2014). Adoption of smart grid technologies: An analysis of interactions among barriers. Renewable and Sustainable Energy Reviews, 33, 554–565.
- Luthra, S., Kumar, S., Garg, D., Haleem, A. (2015). Barriers to renewable/sustainable energy technologies adoption: Indian perspective. Renewable and Sustainable Energy Reviews, 41, 762–776.
- Mabro, R. (1986). The netback pricing system and the price collapse of 1986, WPM 10. Oxford: Oxford Institute for Energy Studies.
- Mah, D. N., van der Vleuten, J. M., Ip, J. C., Hills, P. R., Tao, J. (2012). Consumer perceptions of smart grid development: Results of a Hong Kong survey and policy implications. Energy Policy, 49, 204–216.
- Makovich, L. (2011). The smart grid separating perception from reality. Issues in Science and Technology, 27(3), 61–70.
- McDaniel, P., & McLaughlin, S. (2009). Security and privacy challenges in the smart grid. IEEE Security & Privacy, 7(3), 75–77.
- McHenry, M. P. (2013). Technical and governance considerations for advanced metering infrastructure/smart meters: Technology, security, uncertainty, costs, benefits, and risks. Energy Policy, 59, 834–842.
- McKenna, E., Richardson, I., & Thomson, M. (2012). Smart meter data: Balancing consumer privacy concerns with legitimate applications. Energy Policy, 41, 807–814.
- Meeus, L., Saguan, M., Glachant, J. M., & Belmans, R. (2010). Smart regulation for smart grids. EUI Working Papers, RSCAS 2010/45.
- Mohd, A., Ortjohann, E., Schmelter, A., Hamsic, N., & Morton, D. (2008). Challenges in integrating distributed Energy storage systems into future smart grid. IEEE International Symposium on Industrial Electronics, 1627–1632
- Nair, N. K. C., Zhang, L. (2009). SmartGrid: Future networks for New Zealand power systems incorporating distributed generation. Energy Policy, 37(9), 3418–3427.
- National Institute of Standards and Technology (NIST). (2010). NIST framework and roadmap for smart grid interoperability standards. Release 1.0., NIST Special Publication 1108, U.S. Department of Commerce.
- Naus, J., Spaargaren, G., van Vliet, B. J. M., van der Horst, H. M. (2014). Smart grids, information flows and emerging domestic energy practices. Energy Policy, 68, 436–446.
- Neenan, B., Hemphill, R. C. (2008). Societal benefits of smart metering investments. The Electricity Journal, 21(8), 32–45.
- Nyborg, S., Røpke, I. (2011). Energy impacts of the smart home - conflicting visions, in: Energy Efficiency First: The foundation of a low-carbon society. European Council for an Energy Efficient Economy, Stockholm, pp. 1849–1860.
- Park, C. K., Kim, H. J., & Kim, Y. S. (2014). A study of factors enhancing smart grid consumer engagement. Energy Policy, 72, 211–218.
- Pudjianto, D., Djapic, P., Aunedi, M., Gan, C. K., Strbac, G., Huang, S., & Infield, D. (2013). Smart control for minimizing distribution network reinforcement cost due to electrification. Energy Policy, 52, 76–84.
- Ricci, M., Bellaby, P., Flynn, R. (2010). Engaging the public on paths to sustainable energy: Who has to trust whom? Energy Policy, 38(6), 2633–2640.
- Römer, B., Reichhart, P., Kranz, J., Picot, A. (2012). The role of smart metering and decentralized electricity storage for smart grids: The importance of positive externalities. Energy Policy, 50, 486–495.
- Roozbehani, M., Dahleh, M., Mitter, S. (2010). Dynamic pricing and stabilization of supply and demand in modern electric power grids. 2010 1st IEEE International Conference on Smart Grid Communications, 4–6 October 2010, Gaithersburg, Maryland, USA, pp. 543–548.
- Salmela, S., & Varho, V. (2006). Consumers in the green electricity market in Finland. Energy Policy, 34(18), 3669–3683.
- Samadi, P., Mohsenian-Rad, A. H., Schober, R., Wong, V. W. S., & Jatskevich, J. (2010). Optimal real-time pricing algorithm based on utility maximization for smart grid. 2010 First IEEE International Conference on Smart Grid Communications, 415–420.
- Schwister, F., Fiedler M. (2015). What are the main barriers to smart energy information systems diffusion? Electronic Markets, 25(1), 31–45.
- Semadeni, M., Hansmann, R., & Flueeler, T. (2004). Public attitudes in relation to risk and novelty of future energy options. Energy & Environment, 15(5), 755–777.
- Steg, L. (2008). Promoting household energy conservation. Energy Policy, 36(12), 4449–4453.
- Stromback, J., Dromacque, C., Yassin, M. H. (2011). The Potential of Smart Meter Enabled Programs to Increase Energy and Systems Efficiency: A Mass Pilot Comparison. VaasaETT, Global Energy Think Tank.
- Toft, M. B., Schuitema, G., Thøgersen, J. (2014). The importance of framing for consumer acceptance of the smart grid: A comparative study of Denmark, Norway and Switzerland. Energy Research & Social Science, 3, 113–123.
- Van der Horst, D. (2007). NIMBY or not? Exploring the relevance of location and the politics of voiced opinions in renewable energy siting controversies. Energy Policy, 35(5), 2705–2714.
- Verbong, G. P. J., Beemsterboer, S., & Sengers, F. (2013). Smart grids or smart users? Involving users in developing a low carbon electricity economy. Energy Policy, 52, 117–125.
- Wang, W., Xu, Y., Khanna, M. (2011). A survey on the communication architectures in smart grid. Computer Networks, 55(15), 3604–3629.
- Welsch, M., Bazilian, M., Howells, M., Divan, D., Elzinga, D., Strbac, G., Jones, L., Keane, A., Gielen, D., Balijepalli, V. S. K. M., Brew-Hammond, A., Yumkella, K. (2013). Smart and just grids for sub-Saharan Africa: Exploring options. Renewable and Sustainable Energy Reviews, 20, 336–352.
- Wolsink, M. (1987). Wind power for the electricity supply of houses. Journal of Housing and the Built Environment, 2(3), 195–214.
- Wolsink, M. (2012). The research agenda on social acceptance of distributed generation in smart grids: Renewable as common pool resources. Renewable and Sustainable Energy Reviews, 16(1), 822–835.
- Wüstenhagen, R., & Bilharz, M. (2006). Green energy market development in Germany: effective public policy and emerging customer demand. Energy Policy, 34(13), 1681–1696.
- Wüstenhagen, R., Wolsink, M., & Bürer, M. J. (2007). Social acceptance of renewable energy innovation: An introduction to the concept. Energy Policy, 35(5), 2683–2691.
- Zaglago, L., Craig, C., Shah, H. (2013). Barriers to nationwide adoption of the smart grid technology in Ghana. Proceedings of the World Congress on Engineering, London, UK, 3–5 2013.
- Zio, A., Aven, T., (2011). Uncertainties in smart grids behavior and modeling: What are the risks and vulnerabilities? How to analyze them? Energy Policy, 39(10), 6308–6320.