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Maximilian Schirl
Observed name:
Max Schirl
Institution:
Fachhochschule Salzburg
Observed institutions:
University of Salzburg,
Fachhochschule Salzburg
ORCID:
0000-0003-0208-8088
Observed ORCID:
0000-0003-0208-8088
OpenAlex ID:
A5075731843
A digital readiness check for the evaluation of supply chain aspects and company size for Industry 4.0
2021
·
Markus Lassnig
, Julian Marius Müller
, et al.
·
Journal of Manufacturing Technology Management
·
102
PDF
Python-Based Reinforcement Learning on Simulink Models
2024
·
Georg Schäfer
, Max Schirl
, et al.
·
Advances in intelligent systems and computing
·
12
PDF
Predicting Socio-Demographic Characteristics from Load Profiles with Varying Time Granularities
2025
·
Dejan Radovanovic
, Maximilian Schirl
, et al.
·
International Conference on Smart Cities and Green ICT Systems
·
5
Towards interoperable local energy communities in Austria
2023
·
Günther Eibl
, Jawad Kazmi
, et al.
·
e+i Elektrotechnik und Informationstechnik
·
5
PDF
The Impact of Temporal Granularity on Socio-Demographic Inference from Household Load Profiles
2026
·
Dejan Radovanovic
, Maximilian Schirl
, et al.
·
Communications in computer and information science
PDF
Behavioral Fingerprints in Smart Meter Data: Interpretable Deep Learning for Socio-Demographic Inference
2026
·
Dejan Radovanovic
, Maximilian Schirl
, et al.
·
ACM SIGEnergy Energy Informatics Review
PDF
Quantitative Trend Analysis of Reinforcement Learning Algorithms in Production Systems
2025
·
Georg Schäfer
, Tatjana Krau
, et al.
·
Lecture notes in computer science
Salzburg Smart Factory Bootcamp
2022
·
Simon Kranzer
, Olaf Saßnick
, et al.
·
Fachkonferenz Angewandte Automatisierungstechnik in Lehre und Entwicklung (AALE)
PDF
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Works count:
8
Citation count:
124
H-index:
4
I10-index:
2
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