Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/287206 
Year of Publication: 
2021
Citation: 
[Journal:] IIC - International Review of Intellectual Property and Competition Law [ISSN:] 2195-0237 [Volume:] 52 [Issue:] 8 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2021 [Pages:] 989-1019
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
Having huge power grids successfully integrate sustainable energy sources requires a smart and flexible power grid management system. Such smart systems have to adapt fast and accurately to a great amount of data input – a task which is made easier by applying modern machine learning technology. Solutions crafted by dynamic and powerful computing algorithms have the potential to surpass human cognitive capabilities. The question arises whether and how intellectual property law can be used to set the right incentives. This paper initially describes the basic functions of smart grids and the corresponding necessity of machine learning. Subsequently, it will analyze the current approaches of the most relevant patent offices in dealing with the challenges of AI-related smart grid inventions. Ultimately, it will be demonstrated that the contemporary discussions fail to focus on practical considerations of market entry possibilities that might be more promising than the approach of creating new exclusionary intellectual property rights.
Subjects: 
Machine learning
Smart grid
Patent law
Copyright law
AI
Compulsory licensing
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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