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Functional Requirements and Recommendations for AI-based Sustainable Energy Solutions

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

SMEs contribute to energy conservation by innovating smart services across domains. This article supports the design and implementation of AI-based products and services for sustainable energy solutions by uniting insights from research and practice. Specifically, it presents an iterative approach to document and refine appropriate functional requirements from the literature and three expert focus groups. The set of requirements presented can help SMEs to allocate their development resources efficiently by indicating those functions that are a must or rather optional. Besides, to bolster SME initiatives for AI-based sustainable energy solutions, this article articulates several recommendations for implementing the most important requirements into practice.

Beschreibung

Lowin, Maximilian; Mihale-Wilson, Cristina (2024): Functional Requirements and Recommendations for AI-based Sustainable Energy Solutions. INFORMATIK 2024. DOI: 10.18420/inf2024_148. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-746-3. pp. 1705-1716. Künstliche Intelligenz im Mittelstand / KI-KMU2024. Wiesbaden. 24.-26. September 2024

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