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Entwicklung und Anwendung von Methoden der KI und 5G -Schlussbericht zu AP6

Arbeiter, Georg; Patiño Studencki, Lucila (2025)


Open Access
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Investigations on algorithm selection for interval-based coding methods

Strutz, Tilo; Schreiber, Nico (2025)

Multimedia Tools and Applications.
DOI: 10.1007/s11042-025-20971-3


Peer Reviewed
 

There is a class of entropy-coding methods which do not substitute symbols by code words (such as Huffman coding), but operate on intervals or ranges and thus allow a better approximation of the data entropy. This class includes three prominent members: conventional arithmetic coding, range coding, and coding based on asymmetric numeral systems. To determine the correct symbol in the decoder, each of these methods requires the comparison of a state variable with subinterval boundaries.

In adaptive operation, considering varying symbol statistics, an array of interval boundaries must additionally be kept up to date. The larger the symbol alphabet, the more time-consuming both the search for the correct subinterval and the updating of interval borders become. These entropy coding methods play an important role in all data transmission and storage applications, and optimising speed can be crucial.

Based on detailed pseudo-code, different known and proposed approaches are discussed to speed up the symbol search in the decoder and the adaptation of the array of interval borders, both depending on the chosen alphabet size. It is shown that reducing the big O complexity in practical implementations does not necessarily lead to an acceleration, especially if the alphabet size is too small. For example, the symbol determination at the decoder shows an expected low cpu-clock ratio (O(logn) algorithm versus O(n) algorithm) of about 0.62 for an alphabet with 256 symbols. However, for an alphabet with only 4 symbols, this ratio is 1.05, that means the algorithm with lower theoretical complexity executes slightly faster here. In adaptive compression mode, the binary indexing (BI) method proves to be superior when considering the overall processing time. Although the symbol search (in the decoder) takes longer than using other algorithms (e.g. cpu-clock ratio BI/O(logn) is 1.57), the faster updating of the array of interval borders more than compensates for this disadvantage (total ratio BI/O(logn) is 0.72). A variant of the binary indexing method is proposed, which is more flexible and has a partially lower complexity than the original approach. Specifically, the rescaling of cumulative counts can be reduced in its complexity from O(4n+[log2(n)−2]·n/2) to O(3n).

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Wie viel Heizlast ist genug? Einfluss der Heizlast-Berechnungsmethodik auf die Dimensionierung von Wärmepumpen.

Schaub, Michael; Floß, Alexander (2025)

cci Zeitung 2025 (07), 17-18.


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String outages in photovoltaic plants

Schönau, Maximilian; Panhuysen, Markus; Sonntag, Jonas; Banse, Holger; Seel, Günter...

Renewable Energies and Smart Technologies (REST) 2025 Vol. 3 (1).


Open Access Peer Reviewed
 

In this work, the factors leading to string outages are examined, and an enhanced method for detecting faults at the substring

level is presented. Utilizing GPT4-o to analyze O&M reports of 5089 photovoltaic plants, we classified outages

according to the affected components and the underlying origin, identifying the most frequent string fault causes. An

approach employing CUSUM Charts is introduced to identify substring outages within PV systems effectively. The methodology

utilizes fundamental field data that is commonly available in practice. A filtering approach, combined with the use

of CUSUM control charts, minimizes false positives, ensuring that only consistent underperformance is flagged as an outage.

The methodology returns far fewer false positives and more stable error intervals for substring outages than a former

monitoring approach. Overall, the study demonstrates a significant improvement in detecting substring outages. The

advanced methodology enables more effective O&M for PV plants, where substring outages are reliably identified after a

short detection time.

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Wärmepumpen mit Parallelverdichtern – Wie sich das Stromnetz effektiv entlasten lässt

Floß, Alexander; Schüfer, Jonas; Schaub, Michael (2025)

ENERGIEWIRTSCHAFTLICHE TAGESFRAGEN 75 (7-8), 63-67.


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Abfall der Vorlauftemperatur in Wärmepumpen-Systemen

Floß, Alexander; Schaub, Michael (2025)

TGA-Kongress, 21.-22.05.2025 in Berlin.


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Einfluss der Heizlast-Berechnungsmethodik auf die Dimensionierung und Effizienz von Luft/Wasser-Wärmepumpen

Schaub, Michael; Floß, Alexander (2025)

TGA-Kongress, 21.-22.05.2025 in Berlin.


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Automatisierung im Personennahverkehr: Eine Delphi-Studie zu den Entwicklungsperspektiven fahrerloser Shuttles

Wilde, Mathias; Kuhn, Marcel (2025)

Standort - Zeitschrift für Angewandte Geographie 49 (1), 32-37.
DOI: 10.1007/s00548-024-00950-w


Peer Reviewed
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Neue Wege in der Stadt: Nutzungsmuster und Einflüsse von Shared Micro-Mobility

Wilde, Mathias; Riedelbauch, Lukas (2025)

disP - The Planning Review 60 (3), 69-79.
DOI: 10.1080/02513625.2024.2471170


Peer Reviewed
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Welcher Strom und welche Heizung?

Schaub, Michael (2025)


Open Access
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Validierung von Smart-Wechselrichtern für die Leistungsferndiagnose von PV-Strängen

Kusch, Alexander ; Weiß, Marius; Daume, Darwin; Schönau, Maximilian; Schulze, Achim...

Konferenzband der 8. RET.Con Nordhausen 2025.


Peer Reviewed
 

Die zunehmende Bedeutung der Photovoltaik für die deutsche Energieversorgung erfordert eine zuverlässige und effiziente Leistungsverifizierung, um mögliche Ertragseinbußen zu minimieren. Smart-Wechselrichter mit integrierten Ferndiagnosefunktionen bieten eine vielversprechende Lösung für die Überwachung und Optimierung des Anlagenbetriebs.

 Dieser Beitrag stellt einen speziell entwickelten Messaufbau vor, der die Überprüfung der Messfähigkeit von Smart-Wechselrichtern ermöglicht, insbesondere in Hinblick auf die Messung von Strom-Spannungs-Kennlinien (IU-Kennlinien). Der Fokus der Untersuchung liegt auf der Analyse der Messunsicherheit gemessener Leistungsmaxima durch Referenzieren auf kalibrierte IU-Kennlinienschreiber.

 Die durchgeführten Vergleichsmessungen liefern zufriedenstellende Ergebnisse und zeigen einen Trend zu geringen Messunsicherheiten für höhere Bestrahlungsstärken. Dies bestätigt das Potenzial von Smart-Wechselrichtern für die Leistungsüberwachung von Photovoltaikanlagen und unterstreicht den Nutzen für die Optimierung des Anlagenbetriebs.


Integrating hygrothermal simulations with monitored data in extreme climatic conditions

Panico, Simone; Leonardi, Eleonora; Larcher, Marco; Zandonai, Alessandro...

Journal of Building Performance Simulation 0 (0), 1–24.
DOI: 10.1080/19401493.2025.2591400


Open Access Peer Reviewed
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Reliability of Meteonorm Tmy Weather Data for Predicting Wood Decay in Wood Fiber-Insulated Walls Based on WTA Guidelines

Gholami, Mansoureh; Larcher, Marco; Troi, Alexandra (2025)

International Conference on Moisture in Buildings, 498–511.


Open Access Peer Reviewed

Measuring Box for On-site Thermal Assessment of Windows: Presentation of a Movable Prototype, Applied Calculation and Application

Panico, Simone; Exner, Dagmar; Larcher, Marco; Troi, Alexandra; Miori, Giordano...

Central European Symposium on Building Physics, 477–498.


Open Access Peer Reviewed

Benchmarking of Synthetic Network Data: Reviewing Challenges and Approaches

Wolf, Maximilian; Tritscher, J.; Landes, Dieter; Hotho, Andreas; Schlör, D. (2024)

Computers and Security 2024 (145), 103993.
DOI: 10.1016/j.cose.2024.103993


Peer Reviewed
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Improved Sampling of IV Measurements

Schönau, Maximilian; Schönau, Elisabeth; Daume, Darwin; Panhuysen, Markus...

Proceedings of 41th European Photovoltaic Solar Energy Conference and Exhibition.
DOI: 10.4229/EUPVSEC2024/3AV.3.50


Peer Reviewed
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Hindcasting Solar Irradiance by Machine Learning Using Photovoltaic Data

Schönau, Maximilian; Daume, Darwin; Panhuysen, Markus; Kreller, Tristan...

Proceedings of 41th European Photovoltaic Solar Energy Conference and Exhibition.
DOI: 10.4229/EUPVSEC2024/4CV.1.4


Peer Reviewed
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Modalität und Shared Micro-Mobility: Die Nutzung von Verkehrsmitteln unter multioptionalen Bedingungen

Wilde, Mathias; Riedelbauch, Lukas (2024)

Internationales Verkehrswesen 76 (3), 48-50.



Evaluation of different HMIs to improve operator hazard perception and user experience in teleoperation of automated shuttles

Srinivasan, Priya; Tribulowski, Paul; Lindner, Alisa (2024)

Advances in Human Factors of Transportation 2024, 161-171.
DOI: 10.54941/ahfe1005206


Open Access Peer Reviewed
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Multi-Pedestrian Tracking and Map-based Intention Estimation for Autonomous Driving Scenario

Dehghani, Ali; Patiño Studencki, Lucila (2024)

10th. International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS) 2024.


Peer Reviewed

Referat Forschungs- und Drittmittelservice (FDS)

Hochschule Coburg

Friedrich-Streib-Str. 2
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T +49 9561 317 360
jakob.hanke[at]hs-coburg.de