Peter Kepplinger

453 total citations
32 papers, 312 citations indexed

About

Peter Kepplinger is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Peter Kepplinger has authored 32 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 10 papers in Control and Systems Engineering and 8 papers in Automotive Engineering. Recurrent topics in Peter Kepplinger's work include Smart Grid Energy Management (18 papers), Electric Vehicles and Infrastructure (12 papers) and Microgrid Control and Optimization (10 papers). Peter Kepplinger is often cited by papers focused on Smart Grid Energy Management (18 papers), Electric Vehicles and Infrastructure (12 papers) and Microgrid Control and Optimization (10 papers). Peter Kepplinger collaborates with scholars based in Austria, Norway and United States. Peter Kepplinger's co-authors include Joerg Petrasch, Gerhard Huber, Markus Preißinger, Michael Schüler, Mohan Lal Kolhe, Klaus Rheinberger, Christian A. Baumann, Josef Schiefer, Szabolcs Rozsnyai and Reyn O’Born and has published in prestigious journals such as Energy, Energy and Buildings and Energies.

In The Last Decade

Peter Kepplinger

27 papers receiving 302 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Kepplinger Austria 10 269 97 83 78 71 32 312
Killian McKenna United States 10 304 1.1× 116 1.2× 68 0.8× 69 0.9× 59 0.8× 17 342
Huangjie Gong United States 11 279 1.0× 108 1.1× 54 0.7× 115 1.5× 60 0.8× 31 334
Rodrigo Fiorotti Brazil 10 262 1.0× 122 1.3× 30 0.4× 55 0.7× 57 0.8× 23 320
Walied Alharbi Saudi Arabia 11 245 0.9× 120 1.2× 78 0.9× 29 0.4× 83 1.2× 20 331
Yavuz Eren Türkiye 7 313 1.2× 106 1.1× 110 1.3× 71 0.9× 46 0.6× 18 394
Javier Rodríguez-García Spain 10 342 1.3× 70 0.7× 150 1.8× 42 0.5× 84 1.2× 21 397
Steven Wong Canada 11 335 1.2× 117 1.2× 18 0.2× 33 0.4× 64 0.9× 27 429
Faeza Hafiz United States 12 375 1.4× 189 1.9× 77 0.9× 42 0.5× 41 0.6× 22 416
Tian Mao China 11 383 1.4× 146 1.5× 137 1.7× 23 0.3× 25 0.4× 57 462
Petros Iliadis Greece 9 195 0.7× 90 0.9× 44 0.5× 122 1.6× 67 0.9× 23 347

Countries citing papers authored by Peter Kepplinger

Since Specialization
Citations

This map shows the geographic impact of Peter Kepplinger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Kepplinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kepplinger more than expected).

Fields of papers citing papers by Peter Kepplinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Kepplinger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Kepplinger. The network helps show where Peter Kepplinger may publish in the future.

Co-authorship network of co-authors of Peter Kepplinger

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kepplinger. A scholar is included among the top collaborators of Peter Kepplinger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Kepplinger. Peter Kepplinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rheinberger, Klaus, et al.. (2025). Sequential linear optimization method with fairness considerations for PV hosting capacity quantification in low-voltage grids. Electric Power Systems Research. 248. 111843–111843.
2.
Kepplinger, Peter, et al.. (2025). A comparative simulation study of single and hybrid battery energy storage systems for peak reduction and valley filling using norm-2 optimization. Results in Engineering. 25. 104389–104389. 3 indexed citations
3.
Kolhe, Mohan Lal, et al.. (2024). Energy Demand Response in a Food-Processing Plant: A Deep Reinforcement Learning Approach. Energies. 17(24). 6430–6430.
4.
Baumann, Christian A., et al.. (2024). Optimizing Heat Pump Control in an NZEB via Model Predictive Control and Building Simulation. Energies. 18(1). 100–100. 2 indexed citations
5.
Kolhe, Mohan Lal, et al.. (2024). Enhanced violation-mitigation-based method using voltage/current sensitivities for PV hosting capacity quantification in low-voltage grids. Electric Power Systems Research. 232. 110430–110430. 3 indexed citations
6.
Rheinberger, Klaus, et al.. (2024). Comparison of demand response strategies using active and passive thermal energy storage in a food processing plant. Energy Reports. 12. 226–236. 4 indexed citations
7.
Kepplinger, Peter, et al.. (2024). Uncertainties in model predictive control for decentralized autonomous demand side management of electric vehicles. Journal of Energy Storage. 83. 110194–110194. 11 indexed citations
8.
Baumann, Christian A. & Peter Kepplinger. (2023). Application of a flexibility estimation method for domestic heat pumps with reduced system information and data. 6. 100081–100081. 3 indexed citations
9.
Kepplinger, Peter, et al.. (2023). IEC 61851 compliant demand side management algorithm for electric vehicle charging: a MILP based decentralized approach. IET conference proceedings.. 2022(25). 146–152. 1 indexed citations
10.
Rheinberger, Klaus, et al.. (2022). Optimal power tracking for autonomous demand side management of electric vehicles. Journal of Energy Storage. 52. 104917–104917. 14 indexed citations
11.
Kolhe, Mohan Lal, et al.. (2022). PV Hosting Capacity Estimation in Low Voltage Feeders Through Bayesian Statistical Inference. 250–255. 3 indexed citations
12.
Kepplinger, Peter, et al.. (2022). Violation-mitigation-based method for PV hosting capacity quantification in low voltage grids. International Journal of Electrical Power & Energy Systems. 142. 108318–108318. 8 indexed citations
13.
Preißinger, Markus, et al.. (2019). Autonomous Demand Side Management of Electric Vehicles in a Distribution Grid. 1–6. 7 indexed citations
14.
Kepplinger, Peter, et al.. (2018). Field testing of repurposed electric vehicle batteries for price-driven grid balancing. Journal of Energy Storage. 21. 40–47. 20 indexed citations
15.
Kepplinger, Peter, Gerhard Huber, Markus Preißinger, & Joerg Petrasch. (2018). State estimation of resistive domestic hot water heaters in arbitrary operation modes for demand side management. Thermal Science and Engineering Progress. 9. 94–109. 21 indexed citations
16.
Schüler, Michael, et al.. (2018). A Method for Grid Simulation Assessing Demand Side Management Strategies. 6 indexed citations
17.
Kepplinger, Peter, et al.. (2016). Decentralized price-driven grid balancing via repurposed electric vehicle batteries. Energy. 118. 446–455. 12 indexed citations
18.
Kepplinger, Peter, Gerhard Huber, & Joerg Petrasch. (2016). Field testing of demand side management via autonomous optimal control of a domestic hot water heater. Energy and Buildings. 127. 730–735. 36 indexed citations
19.
Kolhe, Mohan Lal, et al.. (2015). Decentralized on-site optimization of a battery storage system using one-way communication. International Conference on Renewable Power Generation (RPG 2015). 7 .–7 .. 6 indexed citations
20.
Kepplinger, Peter, Gerhard Huber, & Joerg Petrasch. (2014). Autonomous optimal control for demand side management with resistive domestic hot water heaters using linear optimization. Energy and Buildings. 100. 50–55. 72 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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