Edited by Anke Weidlich, Dirk Neumann, Gunther Gust, Philipp Staudt and Mirko Schäfer.
Volume 5 Supplement 1
Proceedings of the 11th DACH+ Conference on Energy Informatics
Research
Publication of this supplement was funded by the German Federal Ministry for Economic Affairs and Energy. The articles have undergone a double blind peer review process. The Supplement Editors declare that they have no competing interests.
Freiburg, Germany15-16 September 2022
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Citation: Energy Informatics 2022 5(Suppl 1):22
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A stochastic deep reinforcement learning agent for grid-friendly electric vehicle charging management
Electrification of the transportation sector provides several advantages in favor of climate protection and a shared economy. At the same time, the rapid growth of electric vehicles also demands innovative sol...
Citation: Energy Informatics 2022 5(Suppl 1):28 -
Optimal industrial flexibility scheduling based on generic data format
The energy transition into a modern power system requires energy flexibility. Demand Response (DR) is one promising option for providing this flexibility. With the highest share of final energy consumption, th...
Citation: Energy Informatics 2022 5(Suppl 1):26 -
Enabling end-to-end digital carbon emission tracing with shielded NFTs
In the energy transition, there is an urgent need for decreasing overall carbon emissions. Against this background, the purposeful and verifiable tracing of emissions in the energy system is a crucial key elem...
Citation: Energy Informatics 2022 5(Suppl 1):27 -
Solar farm cable layout optimization as a graph problem
We introduce the Solar Farm Cable Layout Problem (SoFaCLaP), a novel graph-theoretic optimization problem. SoFaCLaP formalizes the task of finding a cost-optimal cable layout in a solar farm where PV string po...
Citation: Energy Informatics 2022 5(Suppl 1):25 -
Open modeling of electricity and heat demand curves for all residential buildings in Germany
Energy system modeling has been following the energy transition to investigate challenges and opportunities of future energy systems on all grid levels. Necessary input for sector-coupled energy system models ...
Citation: Energy Informatics 2022 5(Suppl 1):21 -
Simulative comparison of concepts for simultaneous control of heat flow and outlet temperature of heat exchangers for highly flexible use in the test facility “District LAB”
An important measure for decarbonising the heating sector is the transformation of existing district heating (DH) systems into low-emission heating grids based on renewable heat sources. The test facility for ...
Citation: Energy Informatics 2022 5(Suppl 1):16 -
A machine learning approach to model the future distribution of e-mobility and its impact on the power grid
It is to be expected that there will be a shift toward electromobility with regard to private passenger cars in the coming years. This will oblige the respective power grid providers to upgrade their networks ...
Citation: Energy Informatics 2022 5(Suppl 1):31 -
Performance evaluation of German smart meter infrastructure for load management through grid operators
The transition to a climate-neutral energy system involves the integration of many small components—on the generation as well as on the consumption side. Their controllability is a crucial part of running a re...
Citation: Energy Informatics 2022 5(Suppl 1):18 -
How unique is weekly smart meter data?
In many countries, energy consumption data is collected through smart meters in 15-min intervals. Prior work has shown that 1 year’s worth of this data is sufficient to extract sensitive information about hous...
Citation: Energy Informatics 2022 5(Suppl 1):13 -
On specification-based cyber-attack detection in smart grids
The transformation of power grids into intelligent cyber-physical systems brings numerous benefits, but also significantly increases the surface for cyber-attacks, demanding appropriate countermeasures. Howeve...
Citation: Energy Informatics 2022 5(Suppl 1):23 -
A framework for researching energy optimization of factory operations
Energy optimization of factory operations has gained increasing importance over recent years since it is understood as one way to counteract climate change. At the same time, the number of research teams worki...
Citation: Energy Informatics 2022 5(Suppl 1):29 -
Time series aggregation for energy system design: review and extension of modelling seasonal storages
Using optimization to design a renewable energy system has become a computationally demanding task as the high temporal fluctuations of demand and supply arise within the considered time series. The aggregatio...
Citation: Energy Informatics 2022 5(Suppl 1):17 -
Operational flexibility for multi-purpose usage of pooled battery storage systems
The multi-purpose usage of battery energy storage systems (BESSs) increases the exploitation of their flexibility potential. This can be further enhanced when a large number of small BESSs are combined into a ...
Citation: Energy Informatics 2022 5(Suppl 1):14 -
Virtualization for performance guarantees of state estimation in cyber-physical energy systems
The strong interdependence between power systems and information and communication technologies (ICT) makes cyber-physical energy systems susceptible to new disturbances. State estimation (SE) is a vital part ...
Citation: Energy Informatics 2022 5(Suppl 1):30 -
Max-consensus protocol to determine the regulated node in distributed voltage regulation
Literature that deals with optimal voltage regulation in the power distribution grid often neglects the impact of communication on their control strategies or makes hard assumptions about the communication net...
Citation: Energy Informatics 2022 5(Suppl 1):15 -
Load forecasting for energy communities: a novel LSTM-XGBoost hybrid model based on smart meter data
Accurate day-ahead load forecasting is an important task in smart energy communities, as it enables improved energy management and operation of flexibilities. Smart meter data from individual households within...
Citation: Energy Informatics 2022 5(Suppl 1):24 -
Net load forecasting using different aggregation levels
In the electricity grid, constantly balancing the supply and demand is critical for the network’s stability and any expected deviations require balancing efforts. This balancing becomes more challenging in fut...
Citation: Energy Informatics 2022 5(Suppl 1):19 -
Boost short-term load forecasts with synthetic data from transferred latent space information
Sustainable energy systems are characterised by an increased integration of renewable energy sources, which magnifies the fluctuations in energy supply. Methods to to cope with these magnified fluctuations, su...
Citation: Energy Informatics 2022 5(Suppl 1):20
- ISSN: 2520-8942 (electronic)
Annual Journal Metrics
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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