Edited by Andreas Unterweger and Dominik Engel. Co-Editors: Sebastian Lehnhoff and Friederich Kupzog.
Citation: Energy Informatics 2019 2(Suppl 1):7
Volume 2 Supplement 1
Publication of this supplement was funded by the Austrian Federal Ministry for Transport, Innovation and Technology. The articles have undergone a double blind peer review process. The Supplement Editors declare that they were not involved in the peer review process for any article on which they are an author. They were not involved with the review of any article by an author at their institution, or whom they have recently co-authored with. They declare no other competing interests.
Salzburg, Austria26-27 September, 2019
Edited by Andreas Unterweger and Dominik Engel. Co-Editors: Sebastian Lehnhoff and Friederich Kupzog.
Citation: Energy Informatics 2019 2(Suppl 1):7
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...
Citation: Energy Informatics 2019 2(Suppl 1):32
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...
Citation: Energy Informatics 2019 2(Suppl 1):17
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...
Citation: Energy Informatics 2019 2(Suppl 1):18
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...
Citation: Energy Informatics 2019 2(Suppl 1):25
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...
Citation: Energy Informatics 2019 2(Suppl 1):26
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...
Citation: Energy Informatics 2019 2(Suppl 1):28
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...
Citation: Energy Informatics 2019 2(Suppl 1):19
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...
Citation: Energy Informatics 2019 2(Suppl 1):27
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...
Citation: Energy Informatics 2019 2(Suppl 1):33
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 ...
Citation: Energy Informatics 2019 2(Suppl 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...
Citation: Energy Informatics 2019 2(Suppl 1):16
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...
Citation: Energy Informatics 2019 2(Suppl 1):14
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-...
Citation: Energy Informatics 2019 2(Suppl 1):29
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...
Citation: Energy Informatics 2019 2(Suppl 1):30
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...
Citation: Energy Informatics 2019 2(Suppl 1):13
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 ...
Citation: Energy Informatics 2019 2(Suppl 1):9
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...
Citation: Energy Informatics 2019 2(Suppl 1):23
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...
Citation: Energy Informatics 2019 2(Suppl 1):11
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...
Citation: Energy Informatics 2019 2(Suppl 1):22
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...
Citation: Energy Informatics 2019 2(Suppl 1):12
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...
Citation: Energy Informatics 2019 2(Suppl 1):21
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 ...
Citation: Energy Informatics 2019 2(Suppl 1):24
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...
Citation: Energy Informatics 2019 2(Suppl 1):10
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