2021
DOI: 10.3389/frai.2021.690237
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Governing AI in Electricity Systems: Reflections on the EU Artificial Intelligence Bill

Abstract: The Proposal for an Artificial Intelligence Act, published by the European Commission in April 2021, marks a major step in the governance of artificial intelligence (AI). This paper examines the significance of this Act for the electricity sector, specifically investigating to what extent the current European Union Bill addresses the societal and governance challenges posed by the use of AI that affects the tasks of system operators. For this we identify various options for the use of AI by system operators, a… Show more

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Cited by 24 publications
(12 citation statements)
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“…The work has identified a range of specific and broad challenges including resource allocation in wireless sensor networks with multiple UAVs (Seid et al, 2021;, governance of AI in power-related general-purpose technologies (Niet et al, 2021;Przhedetsky, 2021;Nitzberg and Zysman, 2022), fault detection, fault diagnosis, and anomaly detection in smart energy systems (Sun et al, 2021;Badr et al, 2022), edge computing for detecting power demand attacks (Alagumalai et al, 2022;Haseeb et al, 2022;Zhu et al, 2022), blockchain-based reliability and security (Al-Abri et al, 2022;Jose et al, 2022), governance of energy markets and energy pipeline systems (Belinsky and Afanasev, 2021;Serna Torre and Hidalgo-Gonzalez, 2022;Sun et al, 2022), forecasting short-term energy demand (Xie et al, 2021;Gürses-Tran et al, 2022), energy trading using federated learning in smart cities (Bracco et al, 2022), energysaving edge AI applications (Khosrojerdi et al, 2022), performance optimization and stability of smart grid operations and nuclear power systems (Luo et al, 2021;Volodin and Tolokonskij, 2022), and others. All these areas are candidates for future research.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The work has identified a range of specific and broad challenges including resource allocation in wireless sensor networks with multiple UAVs (Seid et al, 2021;, governance of AI in power-related general-purpose technologies (Niet et al, 2021;Przhedetsky, 2021;Nitzberg and Zysman, 2022), fault detection, fault diagnosis, and anomaly detection in smart energy systems (Sun et al, 2021;Badr et al, 2022), edge computing for detecting power demand attacks (Alagumalai et al, 2022;Haseeb et al, 2022;Zhu et al, 2022), blockchain-based reliability and security (Al-Abri et al, 2022;Jose et al, 2022), governance of energy markets and energy pipeline systems (Belinsky and Afanasev, 2021;Serna Torre and Hidalgo-Gonzalez, 2022;Sun et al, 2022), forecasting short-term energy demand (Xie et al, 2021;Gürses-Tran et al, 2022), energy trading using federated learning in smart cities (Bracco et al, 2022), energysaving edge AI applications (Khosrojerdi et al, 2022), performance optimization and stability of smart grid operations and nuclear power systems (Luo et al, 2021;Volodin and Tolokonskij, 2022), and others. All these areas are candidates for future research.…”
Section: Discussionmentioning
confidence: 99%
“…This parameter is about the governance and management of AI in the energy sector by identifying the requirements to build ethical, responsible, trustworthy applications and to discuss its policies, regulations, and data privacy concerns. It captures various dimensions of AI behaviour and governance including AI responsibility and accountability in smart grids (Volkova et al, 2022), AI governance and regulations in power-related generalpurpose technologies (Nitzberg and Zysman, 2022), reviewing the European law for the governance of AI in the electricity sector in order to allow transparent and responsible grid management (Niet et al, 2021), promoting fairness and consumer protection via the use of automated decision-making to get access to fundamental services such as electricity and telecommunications (Przhedetsky, 2021), ethics of AI and power systems.…”
Section: Artificial Intelligence Behaviour and Governancementioning
confidence: 99%
“…AI can also be used to advance "smart energy solutions" (Sokołowski, 2020) that optimise energy consumption and manage energy inefficiencies. For example, in respect to electricity systems, AI tools can be used to anticipate the evolution of electricity prices on the grounds of electricity supply and demand projections and thus help facilitate electricity trade in real time (Niet et al, 2021). Studies also indicate that AI technologies and robots will increasingly be deployed to maintain and manage energy plants (Chawla et al, 2022).…”
Section: Artificial Intelligence As An Enabler Of Environmental Susta...mentioning
confidence: 99%
“…Hence, ICT and flexibility solutions are needed to balance solar PV and electricity demand. The integration of RES, like solar PV, requires not just the hybridisation with the existing electricity grid, but also a growing entanglement of the energy and ICT systems (Niet et al, 2022).…”
Section: Hybridisation Of Technologymentioning
confidence: 99%