Business Models of an AI Marketplace for Energy Systems with Focus on Demand Response-Reference-Cited by-同舟云学术

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Business Models of an AI Marketplace for Energy Systems with Focus on Demand Response

Published:2023 Issue: Volume: Page:75-82
ISSN:2196-8705
Container-title:Progress in IS
language:
Short-container-title:

Author:

Barahona Braulio,Bowler Benjamin,Gounden Colin,Papaemmanouil Antonios

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-36698-7_8

Reference14 articles.

1. Berkhout, V., Frey, C., Hertweck, P., & Wickert, M. (2022). Chapter 20 Energy data space. In B. Otto, M. Ten Hompel, & S. Wrobel (Eds.), Designing data spaces: the ecosystem approach to competitive advantage.

2. Crofton, K., Wanless, E., & Wetzel, D. (2015). The Electricity System Value Chain. Rocky Mountain Institute: Technical report.

3. Gopstein, A., Nguyen, C., O’Fallon, C., Hastings, N., & Wollman, D. (2021). NIST framework and roadmap for smart grid interoperability standards, release 4.0. Technical Report NIST SP 1108r4, National Institute of Standards and Technology, Gaithersburg, MD.

4. Hussain, S., Gustavsson, R., Saleem, A., & Nordstrom, L. (2014). SLA conceptual framework for coordinating and monitoring information flow in Smart Grid. In ISGT 2014 (pp. 1–5). IEEE.

5. Kern, D., Ensinger, A., Hammer, C., Neufeld, C., Lecon, C., Nagl, A., Bozem, K., Harrison, D. K., & Wood, B. M. (2022). Application Possibilities of Artificial Intelligence in a Renewable Energy Platform. In S. West, J. Meierhofer, & U. Mangla (Eds.), Smart Services Summit (pp. 35–43). Progress in IS: Springer International Publishing. Series Title.

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