Artikel

Smart Grids and Machine Learning in Chinese and Western Intellectual Property Law

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.

Sprache
Englisch

Erschienen in
Journal: IIC - International Review of Intellectual Property and Competition Law ; ISSN: 2195-0237 ; Volume: 52 ; Year: 2021 ; Issue: 8 ; Pages: 989-1019 ; Berlin, Heidelberg: Springer

Klassifikation
Recht
Thema
Machine learning
Smart grid
Patent law
Copyright law
Compulsory licensing

Ereignis
Geistige Schöpfung
(wer)
Papastefanou, Stefan
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Berlin, Heidelberg
(wann)
2021

DOI
doi:10.1007/s40319-021-01100-7
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Papastefanou, Stefan
  • Springer

Entstanden

  • 2021

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