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  1. A growing demand in sustainable energy harvested from renewable resources, such as wind or solar power, leads to new challenges in the electricity grid, which in future is also referred to as the smart grid. This...

    Authors: Fabian Knirsch, Clemens Brunner, Andreas Unterweger and Dominik Engel
    Citation: Energy Informatics 2020 3:2
  2. The smart grid achieves bidirectional information and energy flow between energy consumer and utility grid, aiding energy users not only to utilize energy, but also to produce, sell, and share energy with othe...

    Authors: Bokolo Anthony Jr, Sobah Abbas Petersen, Dirk Ahlers, John Krogstie and Klaus Livik
    Citation: Energy Informatics 2019 2:36
  3. Power grids are becoming increasingly intelligent. In this regard, they benefit considerably from the information technology (IT) networks coupled with their underlying operational technology (OT) networks. Wh...

    Authors: Ali Alshawish and Hermann de Meer
    Citation: Energy Informatics 2019 2:34
  4. Historically, the power distribution grid was a passive system with limited control capabilities. Due to its increasing digitalization, this paradigm has shifted: the passive architecture of the power system i...

    Authors: Friederike Wenderoth, Elisabeth Drayer, Robert Schmoll, Michael Niedermeier and Martin Braun
    Citation: Energy Informatics 2019 2(Suppl 1):33

    This article is part of a Supplement: Volume 2 Supplement 1

  5. The number of electric vehicles (EVs) is steadily growing. This provides a promising opportunity for balancing the smart grid of the future, because vehicle-to-grid (V2G) systems can utilize the batteries of p...

    Authors: Rebecca Schwerdt, Matthias Nagel, Valerie Fetzer, Tobias Gräf and Andy Rupp
    Citation: Energy Informatics 2019 2(Suppl 1):32

    This article is part of a Supplement: Volume 2 Supplement 1

  6. Stimulating households to save energy with behaviour change support systems is a challenge and an opportunity to support efforts towards more sustainable energy consumption. The approaches developed so far, of...

    Authors: Ksenia Koroleva, Mark Melenhorst, Jasminko Novak, Sergio Luis Herrera Gonzalez, Piero Fraternali and Andrea E. Rizzoli
    Citation: Energy Informatics 2019 2(Suppl 1):30

    This article is part of a Supplement: Volume 2 Supplement 1

  7. The constantly increasing electricity and energy demand in residential buildings, as well as the need for higher absorption rates of renewable sources of energy, demand for an increased flexibility at the end-...

    Authors: Georgios C. Chasparis, Mario Pichler, Johanna Spreitzhofer and Tara Esterl
    Citation: Energy Informatics 2019 2(Suppl 1):29

    This article is part of a Supplement: Volume 2 Supplement 1

  8. Load management of electrical devices in residential buildings can be applied with different goals in the power grid, such as the cost optimization regarding variable electricity prices, peak load reduction or...

    Authors: Marvin Nebel-Wenner, Christian Reinhold, Farina Wille, Astrid Nieße and Michael Sonnenschein
    Citation: Energy Informatics 2019 2(Suppl 1):28

    This article is part of a Supplement: Volume 2 Supplement 1

  9. Surrogate models are used to reduce the computational effort required to simulate complex systems. The power grid can be considered as such a complex system with a large number of interdependent inputs. With a...

    Authors: Stephan Balduin, Martin Tröschel and Sebastian Lehnhoff
    Citation: Energy Informatics 2019 2(Suppl 1):27

    This article is part of a Supplement: Volume 2 Supplement 1

  10. In the last years, diverse agent-based concepts for voltage control in distribution grids were presented in literature. All these approaches are developed manually. Up to now, no tailoring approach has been pr...

    Authors: Thomas Wolgast and Astrid Nieße
    Citation: Energy Informatics 2019 2(Suppl 1):26

    This article is part of a Supplement: Volume 2 Supplement 1

  11. Smart grids promise a more reliable, efficient, economically viable, and environment-friendly electricity infrastructure for the future. State estimation in smart grids plays a pivotal role in system monitorin...

    Authors: Lakshminarayanan Nandakumar, Gamze Tillem, Zekeriya Erkin and Tamas Keviczky
    Citation: Energy Informatics 2019 2(Suppl 1):25

    This article is part of a Supplement: Volume 2 Supplement 1

  12. The analysis of electrical load signatures is an enabling technology for many applications, such as ambient assisted living or energy-saving recommendations. Through the digitalization of electricity metering ...

    Authors: Jana Huchtkoetter and Andreas Reinhardt
    Citation: Energy Informatics 2019 2(Suppl 1):24

    This article is part of a Supplement: Volume 2 Supplement 1

  13. The rising demand for sustainable energy requires to identify the sites for photovoltaic systems with the best performance. This paper tackles the question of feasibility of photovoltaic power plants at high a...

    Authors: Jelenko Karpić, Ekanki Sharma, Tamer Khatib and Wilfried Elmenreich
    Citation: Energy Informatics 2019 2(Suppl 1):23

    This article is part of a Supplement: Volume 2 Supplement 1

  14. In this paper we present insights drawn from recent research projects aimed at developing visualization and gamification tools to stimulate individual behaviour change and promote energy and water saving. We a...

    Authors: Piero Fraternali, Francesca Cellina, Sergio Luis Herrera Gonzales, Mark Melenhorst, Jasminko Novak, Chiara Pasini, Cristina Rottondi and Andrea Emilio Rizzoli
    Citation: Energy Informatics 2019 2(Suppl 1):22

    This article is part of a Supplement: Volume 2 Supplement 1

  15. The massive deployment of distributed generators from renewable sources in recent years has led to a fundamental paradigm change in terms of planning and operation of the electric power system. The usage of ad...

    Authors: Filip Pröstl Andrén, Thomas I. Strasser, Jürgen Resch, Bernhard Schuiki, Sebastian Schöndorfer, Georg Panholzer and Christof Brandauer
    Citation: Energy Informatics 2019 2(Suppl 1):21

    This article is part of a Supplement: Volume 2 Supplement 1

  16. The integration of decentralized prosumers into current energy systems leads to continuously increasing complexity in today‘s popular term of the Smart Grid. Since conventional engineering methods reach their ...

    Authors: Christoph Binder, Michael Fischinger, Lukas Altenhuber, Dieter Draxler, Goran Lastro and Christian Neureiter
    Citation: Energy Informatics 2019 2(Suppl 1):20

    This article is part of a Supplement: Volume 2 Supplement 1

  17. The management and transmission networks is becoming increasingly complex due to the proliferation of renewables-based distributed energy resources (DER). Existing control systems for DER are based on static s...

    Authors: David Ryan, Miguel Ponce De Leon, Niall Grant, Bernard Butler, Steffen Vogel, Markus Mirz and Pádraig Lyons
    Citation: Energy Informatics 2019 2(Suppl 1):19

    This article is part of a Supplement: Volume 2 Supplement 1

  18. Communicating the energetic flexibility of distributed energy resources (DERs) is a key requirement for enabling explicit and targeted requests to steer their behavior. The approach presented in this paper all...

    Authors: Kevin Förderer and Hartmut Schmeck
    Citation: Energy Informatics 2019 2(Suppl 1):18

    This article is part of a Supplement: Volume 2 Supplement 1

  19. In Germany and many other countries the energy market has been subject to significant changes. Instead of only a few large-scale producers that serve aggregated consumers, a shift towards regenerative energy s...

    Authors: Cornelia Krome, Jan Höft and Volker Sander
    Citation: Energy Informatics 2019 2(Suppl 1):17

    This article is part of a Supplement: Volume 2 Supplement 1

  20. The increasing penetration of residential photovoltaics (PV) comes with numerous challenges for distribution system operators. Technical difficulties arise when an excess of PV energy is injected into the grid...

    Authors: Lionel Bloch, Jordan Holweger, Christophe Ballif and Nicolas Wyrsch
    Citation: Energy Informatics 2019 2(Suppl 1):16

    This article is part of a Supplement: Volume 2 Supplement 1

  21. Power system automation is heavily dependent on the reliable interconnection of power system field equipment and centralised control applications. Particularly important to achieve reliability in automated pow...

    Authors: Ferdinand von Tüllenburg, Peter Dorfinger, Armin Veichtlbauer, Ulrich Pache, Oliver Langthaler, Helmut Kapoun, Christian Bischof and Friederich Kupzog
    Citation: Energy Informatics 2019 2(Suppl 1):14

    This article is part of a Supplement: Volume 2 Supplement 1

  22. An algorithm for the non-intrusive disaggregation of energy consumption into its end-uses, also known as non-intrusive appliance load monitoring (NIALM), is presented. The algorithm solves an optimisation prob...

    Authors: Cristina Rottondi, Marco Derboni, Dario Piga and Andrea Emilio Rizzoli
    Citation: Energy Informatics 2019 2(Suppl 1):13

    This article is part of a Supplement: Volume 2 Supplement 1

  23. Flow-based Market Coupling (FBMC) provides welfare gains from cross-border electricity trading by efficiently providing coupling capacity between bidding zones. In the coupled markets of Central Western Europe...

    Authors: Hazem Abdel-Khalek, Mirko Schäfer, Raquel Vásquez, Jan Frederick Unnewehr and Anke Weidlich
    Citation: Energy Informatics 2019 2(Suppl 1):12

    This article is part of a Supplement: Volume 2 Supplement 1

  24. Due to environmental and resiliency benefits, distributed energy resources (DER) are a potential solution for meeting future electricity demand, but their integration into centralized power markets on the larg...

    Authors: Anselma Wörner, Arne Meeuw, Liliane Ableitner, Felix Wortmann, Sandro Schopfer and Verena Tiefenbeck
    Citation: Energy Informatics 2019 2(Suppl 1):11

    This article is part of a Supplement: Volume 2 Supplement 1

  25. The nationwide rollout of smart meters in private households raises privacy concerns: Is it possible to extract privacy-sensitive information from a household’s power consumption? For a small sample of 869 Upp...

    Authors: Cornelia Ferner, Günther Eibl, Andreas Unterweger, Sebastian Burkhart and Stefan Wegenkittl
    Citation: Energy Informatics 2019 2(Suppl 1):10

    This article is part of a Supplement: Volume 2 Supplement 1

  26. Optimizing energy consumption in local energy communities is one of the key contributions to the so-called smart grid. Such communities are equipped with rooftop photovoltaic power plants or other forms of small ...

    Authors: Fabian Knirsch, Oliver Langthaler and Dominik Engel
    Citation: Energy Informatics 2019 2(Suppl 1):9

    This article is part of a Supplement: Volume 2 Supplement 1

  27. The future of e-mobility will consist of a large number of connected electric vehicles, smart charging stations and information systems at the intersection of electricity and mobility sector. When engineering ...

    Authors: Benedikt Kirpes, Philipp Danner, Robert Basmadjian, Hermann de Meer and Christian Becker
    Citation: Energy Informatics 2019 2:15
  28. Retail stores can participate in demand response programs with the possibility of load shifting and building automation systems. Demand response activities in retail stores are influenced by various factors, s...

    Authors: Zheng Ma, Kati Kuusinen and Mikkel Baun Kjærgaard
    Citation: Energy Informatics 2019 2:8
  29. Model-based optimization of energy systems with batteries requires a battery model that is accurate, tractable, and easy to calibrate. Developing such a model is challenging because electrochemical batteries e...

    Authors: Fiodar Kazhamiaka, Catherine Rosenberg and Srinivasan Keshav
    Citation: Energy Informatics 2019 2:4
  30. Energy informatics (EI) is the area of research that addresses the application of technology to resolve complex problems in the energy domain. Goebel et al. (BISE 6:25–31, 2014) provided an EI research framewo...

    Authors: Vivian Sultan and Brian Hilton
    Citation: Energy Informatics 2019 2:3
  31. Product development in the HVAC business segment are continually showing disturbingly slow annual increases in product performance, gradually reducing profitability in the market. Cooling and heating technolog...

    Authors: Christian T. Veje, Muhyiddine Jradi, Ivar Lund, Thomas Hansen, Klavs Kamuk, Esther Kieseritzky and Christian G. Nicolaisen
    Citation: Energy Informatics 2019 2:2
  32. Heating, Ventilation and Air Conditioning (HVAC) consumes a significant fraction of energy in commercial buildings. Hence, the use of optimization techniques to reduce HVAC energy consumption has been widely s...

    Authors: Milan Jain, Rachel K. Kalaimani, Srinivasan Keshav and Catherine Rosenberg
    Citation: Energy Informatics 2018 1:60
  33. In the original publication of this article (Gritzbach et al., 2018), an incorrect version of Algorithm 1 was used. In this correction article the corrected version of Algorithm 1 is shown. The original public...

    Authors: Sascha Gritzbach, Torsten Ueckerdt, Dorothea Wagner, Franziska Wegner and Matthias Wolf
    Citation: Energy Informatics 2018 1:58

    The original article was published in Energy Informatics 2018 1:51

  34. Energy systems are in transition towards more sustainable generation portfolios. In the envisioned smart grid generation will primarily depend on renewable power sources making uncertain quantities of electric...

    Authors: Georgios Methenitis, Michael Kaisers and Han La Poutré
    Citation: Energy Informatics 2018 1:57
  35. Building operating systems play an important role in monitoring energy consumption of devices and improving energy efficiency in household buildings. From this arises a need for a preferably flexible and full-...

    Authors: Huiwen Xu, Lukas König, Doris Cáliz and Hartmut Schmeck
    Citation: Energy Informatics 2018 1:55
  36. Demand Response (DR) facilitates the monitoring and management of appliances in energy grids by employing methods that, for example, increase the reliability of energy grids and reduce users’ cost. Within ener...

    Authors: Dennis Behrens, Thorsten Schoormann, Sebastian Bräuer and Ralf Knackstedt
    Citation: Energy Informatics 2018 1:53
  37. Only a small share of German households make use of the opportunity to regularly switch their electricity supplier in order to fulfill their needs. Besides the relatively low possible monetary savings, another...

    Authors: Michael Hinterstocker, Florian Haberkorn, Andreas Zeiselmair and Serafin von Roon
    Citation: Energy Informatics 2018 1(Suppl 1):42

    This article is part of a Supplement: Volume 1 Supplement 1

  38. Future smart grids heavily rely on collaboration of two interdependent subsystems: the information and communication (ICT) system and the electrical system itself. The past has shown that malfunctions in one o...

    Authors: Ferdinand von Tüllenburg
    Citation: Energy Informatics 2018 1(Suppl 1):37

    This article is part of a Supplement: Volume 1 Supplement 1

  39. Interoperability is the key to Smart Grids and thereby to enable the energy transmission towards 100% renewable energy sources. The project Integrating the Energy System (IES) Austria adopted the holistic meth...

    Authors: Marion Gottschalk, Gerald Franzl, Matthias Frohner, Richard Pasteka and Mathias Uslar
    Citation: Energy Informatics 2018 1(Suppl 1):25

    This article is part of a Supplement: Volume 1 Supplement 1

Annual Journal Metrics

  • Citation Impact 2023
    Source Normalized Impact per Paper (SNIP): 0.761
    SCImago Journal Rank (SJR): 0.568

    Speed 2023
    Submission to first editorial decision (median days): 10
    Submission to acceptance (median days): 52

    Usage 2023
    Downloads: 394,833
    Altmetric mentions: 17