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Citations

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  1. Al-Mansour, Fouad & Sucic, Boris & Pusnik, Matevz, 2014. "Challenges and prospects of electricity production from renewable energy sources in Slovenia," Energy, Elsevier, vol. 77(C), pages 73-81.
  2. Fletcher, James & Malalasekera, Weeratunge, 2016. "Development of a user-friendly, low-cost home energy monitoring and recording system," Energy, Elsevier, vol. 111(C), pages 32-46.
  3. Canizes, Bruno & Soares, João & Vale, Zita & Khodr, H.M., 2012. "Hybrid fuzzy Monte Carlo technique for reliability assessment in transmission power systems," Energy, Elsevier, vol. 45(1), pages 1007-1017.
  4. Ghaith, Ahmad F. & Epplin, Francis M. & Frazier, R. Scott, 2017. "Economics of household wind turbine grid-tied systems for five wind resource levels and alternative grid pricing rates," Renewable Energy, Elsevier, vol. 109(C), pages 155-167.
  5. Rodriguez-Calvo, Andrea & Cossent, Rafael & Frías, Pablo, 2018. "Scalability and replicability analysis of large-scale smart grid implementations: Approaches and proposals in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 1-15.
  6. Imke Lammers & Maarten J. Arentsen, 2017. "Rethinking Participation in Smart Energy System Planning," Energies, MDPI, vol. 10(11), pages 1-16, October.
  7. Matthias Hauser & Sebastian A. Günther & Christoph M. Flath & Frédéric Thiesse, 2019. "Towards Digital Transformation in Fashion Retailing: A Design-Oriented IS Research Study of Automated Checkout Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(1), pages 51-66, February.
  8. Lamnatou, Chr. & Chemisana, D. & Cristofari, C., 2022. "Smart grids and smart technologies in relation to photovoltaics, storage systems, buildings and the environment," Renewable Energy, Elsevier, vol. 185(C), pages 1376-1391.
  9. Sousa, Tiago & Vale, Zita & Carvalho, Joao Paulo & Pinto, Tiago & Morais, Hugo, 2014. "A hybrid simulated annealing approach to handle energy resource management considering an intensive use of electric vehicles," Energy, Elsevier, vol. 67(C), pages 81-96.
  10. Rongheng Lin & Fangchun Yang & Mingyuan Gao & Budan Wu & Yingying Zhao, 2019. "AUD-MTS: An Abnormal User Detection Approach Based on Power Load Multi-Step Clustering with Multiple Time Scales," Energies, MDPI, vol. 12(16), pages 1-19, August.
  11. Guillermo Ivan Pereira & Patrícia Pereira Silva & Deborah Soule, 2018. "Policy-adaptation for a smarter and more sustainable EU electricity distribution industry: a foresight analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 231-267, December.
  12. Batista, N.C. & Melício, R. & Matias, J.C.O. & Catalão, J.P.S., 2013. "Photovoltaic and wind energy systems monitoring and building/home energy management using ZigBee devices within a smart grid," Energy, Elsevier, vol. 49(C), pages 306-315.
  13. Ippolito, M.G. & Di Silvestre, M.L. & Riva Sanseverino, E. & Zizzo, G. & Graditi, G., 2014. "Multi-objective optimized management of electrical energy storage systems in an islanded network with renewable energy sources under different design scenarios," Energy, Elsevier, vol. 64(C), pages 648-662.
  14. Pinto, Tiago & Vale, Zita & Sousa, Tiago M. & Praça, Isabel, 2015. "Negotiation context analysis in electricity markets," Energy, Elsevier, vol. 85(C), pages 78-93.
  15. Milstein, Irena & Tishler, Asher, 2015. "Can price volatility enhance market power? The case of renewable technologies in competitive electricity markets," Resource and Energy Economics, Elsevier, vol. 41(C), pages 70-90.
  16. Kovacic, Zora & Giampietro, Mario, 2015. "Empty promises or promising futures? The case of smart grids," Energy, Elsevier, vol. 93(P1), pages 67-74.
  17. Sun, Chenhao & Wang, Xin & Zheng, Yihui, 2020. "An ensemble system to predict the spatiotemporal distribution of energy security weaknesses in transmission networks," Applied Energy, Elsevier, vol. 258(C).
  18. Lin, Shin-Yeu & Chen, Jyun-Fu, 2013. "Distributed optimal power flow for smart grid transmission system with renewable energy sources," Energy, Elsevier, vol. 56(C), pages 184-192.
  19. Antonio Bracale & Pasquale De Falco, 2015. "An Advanced Bayesian Method for Short-Term Probabilistic Forecasting of the Generation of Wind Power," Energies, MDPI, vol. 8(9), pages 1-22, September.
  20. Galo, Joaquim J.M. & Macedo, Maria N.Q. & Almeida, Luiz A.L. & Lima, Antonio C.C., 2014. "Criteria for smart grid deployment in Brazil by applying the Delphi method," Energy, Elsevier, vol. 70(C), pages 605-611.
  21. Staudt, Philipp & Schmidt, Marc & Gärttner, Johannes & Weinhardt, Christof, 2018. "A decentralized approach towards resolving transmission grid congestion in Germany using vehicle-to-grid technology," Applied Energy, Elsevier, vol. 230(C), pages 1435-1446.
  22. Rhodes, Joshua D. & Upshaw, Charles R. & Harris, Chioke B. & Meehan, Colin M. & Walling, David A. & Navrátil, Paul A. & Beck, Ariane L. & Nagasawa, Kazunori & Fares, Robert L. & Cole, Wesley J. & Kuma, 2014. "Experimental and data collection methods for a large-scale smart grid deployment: Methods and first results," Energy, Elsevier, vol. 65(C), pages 462-471.
  23. Boukettaya, Ghada & Krichen, Lotfi, 2014. "A dynamic power management strategy of a grid connected hybrid generation system using wind, photovoltaic and Flywheel Energy Storage System in residential applications," Energy, Elsevier, vol. 71(C), pages 148-159.
  24. Kostevšek, Anja & Cizelj, Leon & Petek, Janez & Pivec, Aleksandra, 2013. "A novel concept for a renewable network within municipal energy systems," Renewable Energy, Elsevier, vol. 60(C), pages 79-87.
  25. Woo, C.K. & Li, R. & Shiu, A. & Horowitz, I., 2013. "Residential winter kWh responsiveness under optional time-varying pricing in British Columbia," Applied Energy, Elsevier, vol. 108(C), pages 288-297.
  26. Kanevce, Aleksandra & Mishkovski, Igor & Kocarev, Ljupco, 2013. "Modeling long-term dynamical evolution of Southeast European power transmission system," Energy, Elsevier, vol. 57(C), pages 116-124.
  27. Christoph M. Flath & Sebastian Gottwalt, 2016. "Price-based load coordination revisited: augmenting open-loop coordination approaches," Business Research, Springer;German Academic Association for Business Research, vol. 9(1), pages 157-178, April.
  28. Li, Xiao Hui & Hong, Seung Ho, 2014. "User-expected price-based demand response algorithm for a home-to-grid system," Energy, Elsevier, vol. 64(C), pages 437-449.
  29. Konstantina Valogianni & Wolfgang Ketter & John Collins & Dmitry Zhdanov, 2020. "Sustainable Electric Vehicle Charging using Adaptive Pricing," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1550-1572, June.
  30. Hong, Seung Ho & Yu, Mengmeng & Huang, Xuefei, 2015. "A real-time demand response algorithm for heterogeneous devices in buildings and homes," Energy, Elsevier, vol. 80(C), pages 123-132.
  31. Aurelie Tricoire, 2015. "Uncertainty, vision, and the vitality of the emerging smart grid," Post-Print hal-02351994, HAL.
  32. Strong, Derek Ryan, 2017. "The Early Diffusion of Smart Meters in the US Electric Power Industry," Thesis Commons 7zprk, Center for Open Science.
  33. Fadaeenejad, M. & Saberian, A.M. & Fadaee, Mohd. & Radzi, M.A.M. & Hizam, H. & AbKadir, M.Z.A., 2014. "The present and future of smart power grid in developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 828-834.
  34. Shaukat, N. & Khan, B. & Ali, S.M. & Mehmood, C.A. & Khan, J. & Farid, U. & Majid, M. & Anwar, S.M. & Jawad, M. & Ullah, Z., 2018. "A survey on electric vehicle transportation within smart grid system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1329-1349.
  35. Ioakimidis, Christos S. & Oliveira, Luís J. & Genikomsakis, Konstantinos N. & Dallas, Panagiotis I., 2014. "Design, architecture and implementation of a residential energy box management tool in a SmartGrid," Energy, Elsevier, vol. 75(C), pages 167-181.
  36. Christoph M. Flath & Jens P. Ilg & Sebastian Gottwalt & Hartmut Schmeck & Christof Weinhardt, 2014. "Improving Electric Vehicle Charging Coordination Through Area Pricing," Transportation Science, INFORMS, vol. 48(4), pages 619-634, November.
  37. Soares, Ana & Antunes, Carlos Henggeler & Oliveira, Carlos & Gomes, Álvaro, 2014. "A multi-objective genetic approach to domestic load scheduling in an energy management system," Energy, Elsevier, vol. 77(C), pages 144-152.
  38. Welsch, M. & Howells, M. & Bazilian, M. & DeCarolis, J.F. & Hermann, S. & Rogner, H.H., 2012. "Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code," Energy, Elsevier, vol. 46(1), pages 337-350.
  39. Marques, Vítor & Bento, Nuno & Costa, Paulo Moisés, 2014. "The “Smart Paradox”: Stimulate the deployment of smart grids with effective regulatory instruments," Energy, Elsevier, vol. 69(C), pages 96-103.
  40. Abdi, Hamdi & Beigvand, Soheil Derafshi & Scala, Massimo La, 2017. "A review of optimal power flow studies applied to smart grids and microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 742-766.
  41. Wouters, Carmen & Fraga, Eric S. & James, Adrian M., 2015. "An energy integrated, multi-microgrid, MILP (mixed-integer linear programming) approach for residential distributed energy system planning – A South Australian case-study," Energy, Elsevier, vol. 85(C), pages 30-44.
  42. Moretti, M. & Djomo, S. Njakou & Azadi, H. & May, K. & De Vos, K. & Van Passel, S. & Witters, N., 2017. "A systematic review of environmental and economic impacts of smart grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 888-898.
  43. Vardakas, John S. & Zorba, Nizar & Verikoukis, Christos V., 2014. "Scheduling policies for two-state smart-home appliances in dynamic electricity pricing environments," Energy, Elsevier, vol. 69(C), pages 455-469.
  44. Lin, Chen-Chun & Yang, Chia-Han & Shyua, Joseph Z., 2013. "A comparison of innovation policy in the smart grid industry across the pacific: China and the USA," Energy Policy, Elsevier, vol. 57(C), pages 119-132.
  45. Personal, Enrique & Guerrero, Juan Ignacio & Garcia, Antonio & Peña, Manuel & Leon, Carlos, 2014. "Key performance indicators: A useful tool to assess Smart Grid goals," Energy, Elsevier, vol. 76(C), pages 976-988.
  46. Vassileva, Iana & Wallin, Fredrik & Dahlquist, Erik, 2012. "Understanding energy consumption behavior for future demand response strategy development," Energy, Elsevier, vol. 46(1), pages 94-100.
  47. Arega Getaneh Abate & Rosana Riccardi & Carlos Ruiz, 2021. "Dynamic tariff-based demand response in retail electricity market under uncertainty," Papers 2105.03405, arXiv.org, revised Nov 2024.
  48. Jorge, Raquel S. & Hertwich, Edgar G., 2014. "Grid infrastructure for renewable power in Europe: The environmental cost," Energy, Elsevier, vol. 69(C), pages 760-768.
  49. Ghaith, Ahmad & Epplin, Francis & Frazier, R. Scott, 2016. "Cost of Oklahoma Grid-tied Solar Panel and Wind Turbine Systems for a Representative Household," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229820, Southern Agricultural Economics Association.
  50. Zixu Liu & Xiaojun Zeng & Fanlin Meng, 2018. "An Integration Mechanism between Demand and Supply Side Management of Electricity Markets," Energies, MDPI, vol. 11(12), pages 1-23, November.
  51. Gärttner, Johannes & Flath, Christoph M. & Weinhardt, Christof, 2018. "Portfolio and contract design for demand response resources," European Journal of Operational Research, Elsevier, vol. 266(1), pages 340-353.
  52. Ghaith, Ahmad F. & Epplin, Francis M. & Frazier, R. Scott, 2017. "Economics of grid-tied household solar panel systems versus grid-only electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 407-424.
  53. Soares, João & Fotouhi Ghazvini, Mohammad Ali & Vale, Zita & de Moura Oliveira, P.B., 2016. "A multi-objective model for the day-ahead energy resource scheduling of a smart grid with high penetration of sensitive loads," Applied Energy, Elsevier, vol. 162(C), pages 1074-1088.
  54. Yang, Ting & Ren, Minglun & Zhou, Kaile, 2018. "Identifying household electricity consumption patterns: A case study of Kunshan, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 861-868.
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