Application Possibilities of Artificial Intelligence in a Renewable Energy Platform

Daria Kern (), Andreas Ensinger (), Carmen Hammer (), Christina Neufeld (), Carsten Lecon (), Anna Nagl (), Karlheinz Bozem (), David K. Harrison () and Bruce M. Wood ()
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Daria Kern: Aalen University
Andreas Ensinger: Glasgow Caledonian University
Carmen Hammer: Aalen University
Christina Neufeld: Aalen University
Carsten Lecon: Aalen University
Anna Nagl: Aalen University
Karlheinz Bozem: Bozem Consulting Associates
David K. Harrison: Glasgow Caledonian University
Bruce M. Wood: Glasgow Caledonian University

A chapter in Smart Services Summit, 2022, pp 35-43 from Springer

Abstract: Abstract Digitization and the trend to work from home are significantly accelerated by the COVID-19 pandemic. The relocation of the workplace to the home office is accompanied by increased electricity consumption in private households. Furthermore, with the threat of climate change, the transition to renewable energies is becoming increasingly important. This includes the need for new and innovative business models in the energy sector. Artificial intelligence is one of the key technologies for innovation. We investigate how and where artificial intelligence can be incorporated into the business model of a German research project. The business model aims to market renewable energy through a platform where private electricity consumers and producers are part of the user base. With the help of AI, future supply and demand can be forecasted more accurately, which is ecologically and economically beneficial. Chatbot assistance and further applications are presented as well. The resulting added value can benefit both the platform operator as well as the platform users.

Keywords: Artificial intelligence; Business model development; Renewable energy; Platform innovation; Smart services (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-97042-0_4

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