Development and real-world application of a taxonomy for business models in local energy markets
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DOI: 10.1016/j.apenergy.2019.113913
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Citations
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Cited by:
- Pavlos S. Georgilakis, 2020. "Review of Computational Intelligence Methods for Local Energy Markets at the Power Distribution Level to Facilitate the Integration of Distributed Energy Resources: State-of-the-art and Future Researc," Energies, MDPI, vol. 13(1), pages 1-37, January.
- Karami, Mahdi & Madlener, Reinhard, 2022.
"Business models for peer-to-peer energy trading in Germany based on households’ beliefs and preferences,"
Applied Energy, Elsevier, vol. 306(PB).
- Karami, Mahdi & Madlener, Reinhard, 2021. "Business Models for Peer-to-Peer Energy Trading in Germany Based on Households’ Beliefs and Preferences," FCN Working Papers 3/2021, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Oct 2021.
- Roth, Tamara & Utz, Manuel & Baumgarte, Felix & Rieger, Alexander & Sedlmeir, Johannes & Strüker, Jens, 2022. "Electricity powered by blockchain: A review with a European perspective," Applied Energy, Elsevier, vol. 325(C).
- Fuentes González, Fabián & Webb, Janette & Sharmina, Maria & Hannon, Matthew & Pappas, Dimitrios & Tingey, Margaret, 2021. "Characterising a local energy business sector in the United Kingdom: Participants, revenue sources, and estimates of localism and smartness," Energy, Elsevier, vol. 223(C).
- Potenciano Menci, Sergio & Valarezo, Orlando, 2024. "Decoding design characteristics of local flexibility markets for congestion management with a multi-layered taxonomy," Applied Energy, Elsevier, vol. 357(C).
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Keywords
Local energy markets; Business models; Expert interviews; Taxonomy development method;All these keywords.
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