Business Case for a Regional AI-Based Marketplace for Renewable Energies
Jonas Holzinger,
Anna Nagl (),
Karlheinz Bozem (),
Carsten Lecon,
Andreas Ensinger,
Jannik Roessler and
Christina Neufeld
Additional contact information
Jonas Holzinger: Competence Center for Innovative Business Models, Aalen University, 73430 Aalen, Germany
Anna Nagl: Competence Center for Innovative Business Models, Aalen University, 73430 Aalen, Germany
Karlheinz Bozem: Bozem|Consulting Associates|Munich, 80997 Munich, Germany
Carsten Lecon: Competence Center for Innovative Business Models, Aalen University, 73430 Aalen, Germany
Andreas Ensinger: Ueberlandzentrale Woerth/I.-Altheim Netz AG, 84051 Altheim, Germany
Jannik Roessler: Competence Center for Innovative Business Models, Aalen University, 73430 Aalen, Germany
Christina Neufeld: Competence Center for Innovative Business Models, Aalen University, 73430 Aalen, Germany
Sustainability, 2025, vol. 17, issue 4, 1-13
Abstract:
The global energy sector is rapidly changing due to decentralization, renewable energy integration, and digitalization, challenging traditional energy business models. This paper explores a startup concept for an AI-assisted regional marketplace for renewable energy, specifically suited for small- and medium-sized enterprises (SMEs). Driven by advancements in artificial intelligence (AI), big data, and Internet of Things (IoT) technology, this marketplace enables efficient energy trading through real-time supply–demand matching with dynamic pricing. Decentralized energy systems, such as solar and wind power, offer benefits like enhanced energy security but also present challenges in balancing supply and demand due to volatility. This research develops and validates an AI-based pricing model to optimize regional energy consumption and incentivize efficient usage to support grid stability. Through a SWOT analysis, this study highlights the strengths, weaknesses, opportunities, and threats of such a platform. Findings indicate that, with scalability, the AI-driven marketplace could significantly support the energy transition by increasing renewable energy use and therefore reducing carbon emissions. This paper presents a viable, scalable solution for SMEs aiming to participate in a resilient, sustainable, and localized energy market.
Keywords: decentralized energy systems; renewable energy integration; AI-assisted marketplace; dynamic pricing; energy transition; small- and medium-sized enterprises (SMEs); grid stability; sustainability in energy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:4:p:1739-:d:1594666
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