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  1. 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
  2. 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
  3. 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
  4. 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

  5. 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
  6. 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
  7. 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
  8. Because space heating causes a large fraction of energy consumed in households, occupancy-based heating systems have become more and more popular in recent years. However, there is still no practical method to...

    Authors: Vincent Becker, Wilhelm Kleiminger, Vlad C. Coroamă and Friedemann Mattern
    Citation: Energy Informatics 2018 1(Suppl 1):52

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

  9. In the Wind Farm Cabling Problem (WCP) the task is to design the internal cabling of a wind farm such that all power from the turbines can be transmitted to the substations and the costs for the cabling are minim...

    Authors: Sascha Gritzbach, Torsten Ueckerdt, Dorothea Wagner, Franziska Wegner and Matthias Wolf
    Citation: Energy Informatics 2018 1(Suppl 1):51

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

    The Publisher Correction to this article has been published in Energy Informatics 2018 1:58

  10. In an attempt to channel sales activities, companies often focus on ‘high value targets’ that offer attractive prospective returns. In liberalized electricity markets, commercial customers with high electricit...

    Authors: Carlo Stingl, Konstantin Hopf and Thorsten Staake
    Citation: Energy Informatics 2018 1(Suppl 1):50

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

  11. Battery Electric Vehicles (BEVs) are claimed to foster climate-neutral energy and transportation systems. However, the use of the BEVs shifts emissions only geographically. In addition, the charging of BEVs ca...

    Authors: Julian Huber and Christof Weinhardt
    Citation: Energy Informatics 2018 1(Suppl 1):49

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

  12. There has been a large number of contributions on privacy-preserving smart metering with Differential Privacy, addressing questions from actual enforcement at the smart meter to billing at the energy provider....

    Authors: Günther Eibl, Kaibin Bao, Philip-William Grassal, Daniel Bernau and Hartmut Schmeck
    Citation: Energy Informatics 2018 1(Suppl 1):48

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

  13. Over the last decade, the Common Information Model (CIM), as specified by IEC 61970 / 61968, has become an important document format for the storage of power grid data. Its object-oriented design makes it easi...

    Authors: Lukas Razik, Jan Dinkelbach, Markus Mirz and Antonello Monti
    Citation: Energy Informatics 2018 1(Suppl 1):47

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

  14. With an increasing share of distributed energy resources (DER) in the electrical energy system it is becoming more and more important that DER not only take part in active power provision but are also involved...

    Authors: Johannes Gerster
    Citation: Energy Informatics 2018 1(Suppl 1):46

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

  15. Energy forecasting is a technique to predict future energy needs to achieve demand and supply equilibrium. In this paper we aim to assess the performance of a forecasting model which is a weather-free model cr...

    Authors: Ekanki Sharma
    Citation: Energy Informatics 2018 1(Suppl 1):44

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

  16. Electrical power systems are undergoing major transformations as the share of decentralized energy resources increases. One important aspect is that the system is required to cope and adapt to the fluctuating ...

    Authors: Carsten Krüger, Jorge Velasquez, Davood Babazadeh and Sebastian Lehnhoff
    Citation: Energy Informatics 2018 1(Suppl 1):43

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

  17. 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

  18. The great technology advance over the last few years has led to a great increase in the quantity and availability of information. Having the means to obtain the required information, the main challenge is to m...

    Authors: Francisco Silva, Gabriel Santos, Isabel Praça and Zita Vale
    Citation: Energy Informatics 2018 1(Suppl 1):41

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

  19. In energy economy forecasts of different time series are rudimentary. In this study, a prediction for the German day-ahead spot market is created with Apache Spark and R. It is just an example for many different ...

    Authors: Cornelia Krome and Volker Sander
    Citation: Energy Informatics 2018 1(Suppl 1):40

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

  20. For historical reasons, power systems are designed, controlled and operated centrally. A coordination of the rising number of increasingly heterogeneous, small-scale and citizen- or company-owned assets is not...

    Authors: Jonas Schlund
    Citation: Energy Informatics 2018 1(Suppl 1):39

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

  21. The increasing integration of distributed renewable energy resources into the power grid calls for employment of information and communication technology, transforming the grid into a cyber-physical energy sys...

    Authors: Cornelius Steinbrink, Christian Köhler, Marius Siemonsmeier and Thorsten van Ellen
    Citation: Energy Informatics 2018 1(Suppl 1):38

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

  22. Non-Intrusive Load Monitoring (NILM) is a set of techniques to gain deep insights into workflows inside buildings based on data provided by smart meters. In this way, the combined consumption needs only to be ...

    Authors: Christoph Klemenjak
    Citation: Energy Informatics 2018 1(Suppl 1):36

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

  23. Due to the importance of the energy resource management (ERM) in the energy community, several mathematical formulations have been successfully proposed to solve the problem. However, due to the very dynamic e...

    Authors: Fernando Lezama, Joao Soares and Zita Vale
    Citation: Energy Informatics 2018 1(Suppl 1):35

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

  24. In future energy systems dominated by distributed energy resources, additional flexibility potential will be unlocked by interlinking the infrastructures of different energy systems. Direct and indirect coupli...

    Authors: Astrid Nieße and Arash Shahbakhsh
    Citation: Energy Informatics 2018 1(Suppl 1):34

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

  25. The roll-out of decentralized energy resources introduces a set of new challenges for system operators. In order to address these requirements it is necessary to utilize modern control strategies, and conseque...

    Authors: Jorge Velasquez
    Citation: Energy Informatics 2018 1(Suppl 1):33

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

  26. OpenDISCO is an open-source framework for decentralized simulation and security assessment of distributed power grid control. By incorporating security assessment directly into the control algorithms’ implemen...

    Authors: Marius Stübs and Kevin Köster
    Citation: Energy Informatics 2018 1(Suppl 1):32

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

  27. The paper proposes a demand response scheme controlling many domestic electric water heaters (DEWHs) with a price function to consume electric power according to a target schedule. It discusses at length the d...

    Authors: Tobias Lübkert, Marcus Venzke and Volker Turau
    Citation: Energy Informatics 2018 1(Suppl 1):31

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

  28. Residential and commercial buildings are responsible for one third of the total (CO2) emissions in the European Union, which are the main cause of global warming. Although the thermal load has long been considere...

    Authors: Laura Fiorini and Marco Aiello
    Citation: Energy Informatics 2018 1(Suppl 1):29

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

  29. The electrification of the mobility sector comes with multiple challenges such as the lack of information on when, where, how long and how fast charging processes of electric vehicles will take place. In order...

    Authors: Ammar Alyousef, Dominik Danner, Friederich Kupzog and Hermann de Meer
    Citation: Energy Informatics 2018 1(Suppl 1):28

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

  30. In addition to renewable energy sources, the transition of the German energy system will increasingly involve the use of decentralized combined heat and power plants (CHP). In order to use this promising techn...

    Authors: Thomas Weber, Nina Strobel, Thomas Kohne, Jakob Wolber and Eberhard Abele
    Citation: Energy Informatics 2018 1(Suppl 1):27

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

  31. Energy providers face several technical and societal challenges with respect to renewable energies and smart energy systems. As central management units of energy supply systems, control rooms and their operat...

    Authors: Tilo Mentler, Tim Rasim, Marcel Müßiggang and Michael Herczeg
    Citation: Energy Informatics 2018 1(Suppl 1):26

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

  32. 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

  33. The integration of decentralized energy resources is changing the ways distribution grids are being operated. Moreover, a major change is the implementation of active control strategies to adapt to the energy ...

    Authors: Felipe Castro, Jorge Velásquez, Davood Babazadeh and Sebastian Lehnhoff
    Citation: Energy Informatics 2018 1(Suppl 1):24

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

  34. Smart energy systems (SES) promote the transformation of the distribution grid towards more sustainable operation and planning strategies, but also impose a set of considerable technological and political chal...

    Authors: Dominik Ascher and Christoph Kondzialka
    Citation: Energy Informatics 2018 1(Suppl 1):23

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

  35. Congestion management in distribution grids is an important task for distribution grid operators, both from a financial and a technological perspective. Whereas large generation units and large controllable lo...

    Authors: Astrid Nieße, Norman Ihle, Stephan Balduin, Matthias Postina, Martin Tröschel and Sebastian Lehnhoff
    Citation: Energy Informatics 2018 1(Suppl 1):22

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

  36. The flexibility of distributed energy resources (DERs) can be modeled in various ways. Each model that can be used for creating feasible load profiles of a DER represents a potential model for the flexibility ...

    Authors: Kevin Förderer, Mischa Ahrens, Kaibin Bao, Ingo Mauser and Hartmut Schmeck
    Citation: Energy Informatics 2018 1(Suppl 1):21

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

  37. This paper analyzes the management of a large number of distributed battery energy storage systems (BESSs) by a energy utility in order to provide some market services. A heuristic algorithm based on two parts...

    Authors: Hubert Abgottspon, René Schumann, Lucien Epiney and Karl Werlen
    Citation: Energy Informatics 2018 1(Suppl 1):20

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

  38. In this poster paper, we describe our experiences with the Use Case methodology in a funded consortium research project. In our project, more than 50 documented Use Cases evolved during five phases where their...

    Authors: Marie Clausen, Rolf Apel, Marc Dorchain, Matthias Postina and Mathias Uslar
    Citation: Energy Informatics 2018 1(Suppl 1):19

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

  39. The application of Deep Learning methodologies to Non-Intrusive Load Monitoring (NILM) gave rise to a new family of Neural NILM approaches which increasingly outperform traditional NILM approaches. In this ext...

    Authors: Kaibin Bao, Kanan Ibrahimov, Martin Wagner and Hartmut Schmeck
    Citation: Energy Informatics 2018 1(Suppl 1):18

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

  40. The growing adoption of photovoltaic panels on roof-tops increases the pressure on grid operators for offsetting surplus or deficiency in generation. A multi-carrier energy system allows energy to be converted...

    Authors: Qianchen Yu, Arne Meeuw and Felix Wortmann
    Citation: Energy Informatics 2018 1(Suppl 1):17

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

  41. Forecasting or modeling the on-off times of domestic appliances has gained increasing attention in recent years. However, comparing currently published results is difficult due to the many different data-sets ...

    Authors: Patrick Huber, Mario Gerber, Andreas Rumsch and Andrew Paice
    Citation: Energy Informatics 2018 1(Suppl 1):16

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

  42. Critical infrastructures – such as electricity networks, power stations and Smart Grids – are increasingly monitored and controlled by computing and communication technologies. The need to address security and...

    Authors: Antonios Gouglidis, Benjamin Green, David Hutchison, Ali Alshawish and Hermann de Meer
    Citation: Energy Informatics 2018 1:15

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