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Artificial Intelligence in Energy Demand Response : A Taxonomy of Input Data Requirements
Michaelis, Anne; Halbrügge, Stephanie; Körner, Marc-Fabian et al.
2022In Proceedings of the 17th International Conference on Wirtschaftsinformatik (WI)
Peer reviewed
 

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Keywords :
Energy Informatics; Green IS; Demand Response; Artificial Intelligence; Input Data Requirements
Abstract :
[en] The ongoing energy transition increases the share of renewable energy sources. To combat inherent intermittency of RES, increasing system flexibility forms a major opportunity. One way to provide flexibility is demand response (DR). Research already reflects several approaches of artificial intelligence (AI) for DR. However, these approaches often lack considerations concerning their applicability, i.e., necessary input data. To help putting these algorithms into practice, the objective of this paper is to analyze, how input data requirements of AI approaches in the field of DR can be systematized from a practice-oriented information systems perspective. Therefore, we develop a taxonomy consisting of eight dimensions encompassing 30 characteristics. Our taxonomy contributes to research by illustrating how future AI approaches in the field of DR should represent their input data requirements. For practitioners, our developed taxonomy adds value as a structuring tool, e.g., to verify applicability with respect to input data requirements.
Disciplines :
Energy
Management information systems
Author, co-author :
Michaelis, Anne
Halbrügge, Stephanie
Körner, Marc-Fabian
Fridgen, Gilbert  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
Weibelzahl, Martin
External co-authors :
yes
Language :
English
Title :
Artificial Intelligence in Energy Demand Response : A Taxonomy of Input Data Requirements
Publication date :
2022
Event name :
17th International Conference on Wirtschaftsinformatik (WI)
Event date :
from 21-02-2022 to 23-02-2022
Main work title :
Proceedings of the 17th International Conference on Wirtschaftsinformatik (WI)
Peer reviewed :
Peer reviewed
Focus Area :
Sustainable Development
Security, Reliability and Trust
FnR Project :
FNR13342933 - Paypal-fnr Pearl Chair In Digital Financial Services, 2019 (01/01/2020-31/12/2024) - Gilbert Fridgen
Available on ORBilu :
since 13 January 2023

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