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Simon Wenninger
Simon Wenninger
FIM Research Center University of Applied Sciences Augsburg, Branch Business & Information Systems
在 fim-rc.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
Explainable long-term building energy consumption prediction using QLattice
S Wenninger, C Kaymakci, C Wiethe
Applied Energy 308, 118300, 2022
642022
The impact of political instruments on building energy retrofits: A risk-integrated thermal Energy Hub approach
J Ahlrichs, S Rockstuhl, T Tränkler, S Wenninger
Energy Policy 147, 111851, 2020
442020
Benchmarking energy quantification methods to predict heating energy performance of residential buildings in Germany
S Wenninger, C Wiethe
Business & Information Systems Engineering 63 (3), 223-242, 2021
302021
A holistic framework for AI systems in industrial applications
C Kaymakci, S Wenninger, A Sauer
Innovation Through Information Systems: Volume II: A Collection of Latest …, 2021
292021
Understanding the risk perception of energy efficiency investments: Investment perspective vs. energy bill perspective
S Rockstuhl, S Wenninger, C Wiethe, B Häckel
Energy Policy 159, 112616, 2021
282021
Impact of socio-economic factors on local energetic retrofitting needs-A data analytics approach
J Ahlrichs, S Wenninger, C Wiethe, B Häckel
Energy Policy 160, 112646, 2022
192022
Integrating Energy Flexibility in Production Planning and Control-An Energy Flexibility Data Model-Based Approach
L Bank, S Wenninger, J Köberlein, M Lindner, C Kaymakci, M Weigold, ...
ESSN: 2701-6277, 2021
192021
Future vehicle energy supply-sustainable design and operation of hybrid hydrogen and electric microgrids
R Förster, M Kaiser, S Wenninger
Applied energy 334, 120653, 2023
182023
Leveraging advanced ensemble models to increase building energy performance prediction accuracy in the residential building sector
K Konhäuser, S Wenninger, T Werner, C Wiethe
Energy and Buildings 269, 112242, 2022
162022
Wie IT die Energieflexibilitätsvermarktung von Industrieunternehmen ermöglicht und die Energiewende unterstützt
D Bauer, A Hieronymus, C Kaymakci, J Köberlein, J Schimmelpfennig, ...
HMD Praxis der Wirtschaftsinformatik 58 (1), 102-115, 2020
162020
Energy anomaly detection in industrial applications with long short-term memory-based autoencoders
C Kaymakci, S Wenninger, A Sauer
Procedia CIRP 104, 182-187, 2021
152021
A systematic selection process of machine learning cloud services for manufacturing SMEs
C Kaymakci, S Wenninger, P Pelger, A Sauer
Computers 11 (1), 14, 2022
132022
How sustainable is machine learning in energy applications?–the sustainable machine learning balance sheet
S Wenninger, C Kaymakci, C Wiethe, J Römmelt, L Baur, B Häckel, ...
122022
Aggregating Energy Flexibility for Demand-Side Management in Manufacturing Companies–A Two-Step Method
M Lindner, S Wenninger, G Fridgen, M Weigold
Congress of the German Academic Association for Production Technology, 631-638, 2021
122021
Benchmarking building energy performance: Accuracy by involving occupants in collecting data-A case study in Germany
L Wederhake, S Wenninger, C Wiethe, G Fridgen, D Stirnweiß
Journal of cleaner production 379, 134762, 2022
102022
Quantifizierung unternehmerischer Nachhaltigkeit in der Fertigungsindustrie: Entwicklung eines zielorientierten Nachhaltigkeitsindex
S Rusche, S Rockstuhl, S Wenninger
Zeitschrift für Energiewirtschaft 45 (4), 317-343, 2021
92021
Evidence for residential building retrofitting practices using explainable AI and socio-demographic data
S Wenninger, P Karnebogen, S Lehmann, T Menzinger, M Reckstadt
Energy reports 8, 13514-13528, 2022
82022
Energieflexibel in die Zukunft: Wie Fabriken zum Gelingen der Energiewende beitragen können
A Bachmann, L Bank, C Bark, D Bauer, B Blöchl, M Brugger, HU Buhl, ...
VDI Verlag, 2021
82021
How flexible are energy flexibilities? developing a flexibility score for revenue and risk analysis in industrial demand-side management
S Rusche, J Weissflog, S Wenninger, B Häckel
Applied Energy 345, 121351, 2023
62023
The influence of risk perception on energy efficiency investments: Evidence from a German survey
S Rockstuhl, S Wenninger, C Wiethe, J Ahlrichs
Energy Policy 167, 113033, 2022
62022
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