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Energy Informatics
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  3. Content type: Research

    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

    Published on:

  4. Content type: Research

    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

    Published on:

  5. Content type: Project report

    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

    Published on:

  7. Content type: Research

    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

    Published on:

  9. Content type: Publisher Correction

    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

    Published on:

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

  10. Content type: Research

    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

    Published on:

  12. Content type: Research

    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

    Published on:

  14. Content type: Research

    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

    Published on:

  15. Content type: Research

    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

    Published on:

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

  16. Content type: Research

    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

    Published on:

    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

  17. Content type: Research

    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

    Published on:

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

  18. Content type: Research

    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

    Published on:

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

  19. Content type: Research

    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

    Published on:

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

  20. Content type: Research

    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

    Published on:

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

  22. Content type: Research

    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

    Published on:

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

  23. Content type: Research

    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

    Published on:

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

  24. Content type: Research

    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

    Published on:

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

  25. Content type: Research

    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

    Published on:

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

  26. Content type: Research

    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

    Published on:

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

  27. Content type: Research

    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

    Published on:

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

  28. Content type: Research

    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

    Published on:

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

  30. Content type: Research

    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

    Published on:

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

  31. Content type: Research

    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

    Published on:

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

  32. Content type: Research

    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

    Published on:

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

  33. Content type: Research

    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

    Published on:

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

  34. Content type: Research

    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

    Published on:

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

  35. Content type: Research

    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

    Published on:

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

  37. Content type: Research

    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

    Published on:

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

  38. Content type: Research

    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

    Published on:

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

  39. Content type: Research

    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

    Published on:

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

  40. Content type: Research

    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

    Published on:

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

  41. Content type: Research

    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

    Published on:

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

  42. Content type: Research

    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

    Published on:

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

  43. Content type: Research

    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

    Published on:

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

  44. Content type: Research

    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

    Published on:

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

  45. Content type: Research

    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

    Published on:

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

  46. Content type: Research

    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

    Published on:

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

  47. Content type: Research

    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

    Published on:

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

  48. Content type: Research

    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

    Published on:

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

  49. Content type: Research

    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

    Published on:

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

  50. Content type: Research

    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

    Published on:

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

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