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Book part
Publication date: 18 January 2024

Tulsi Pawan Fowdur and Ashven Sanghan

Energy production and distribution is undergoing a revolutionary transition with the advent of disruptive technologies such as the Internet of Energy (IoE), 5G and artificial…

Abstract

Energy production and distribution is undergoing a revolutionary transition with the advent of disruptive technologies such as the Internet of Energy (IoE), 5G and artificial intelligence (AI). IoE essentially involves automating and enhancing the energy infrastructure: the power grid from grid operators to energy generators and distribution utilities. The IoE also relies on powerful connectivity networks such as 5G, big data analytics and AI to optimise its operation. By incorporating the technology that employs ubiquitous devices such as smartphones, tablets or smart electric vehicles, it will be possible to fully exploit the potential of IoE using 5G networks. 5G networks will provide high speed connections between devices such as drones, tractors and cloud networks, to transfer huge amounts of sensor data. Additionally, there are many sources of isolated data across the main energy production units (generation, transmission and distribution), and the data is increasing at phenomenal rates. By applying AI to these data, major improvements can be brought at each stage of the energy production chain. Tying renewable energy to the telecommunications sector and leveraging on the potential of data analytics is something which is gaining major attention among researchers and industry experts. This chapter therefore explores the combination of three of the most promising technologies i.e. IoE, 5G and AI for achieving affordable and clean energy, which is SDG 7 in the UN Sustainable Development Goals (SDGs).

Details

Artificial Intelligence, Engineering Systems and Sustainable Development
Type: Book
ISBN: 978-1-83753-540-8

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Book part
Publication date: 25 January 2021

Desalegn Abraha and Akmal S. Hyder

In this chapter, six cases are presented, four from Poland and two from Hungary. The Polish cases are Partec Rockwool, PLM, Bulten Tools, and Vattenfall, while Svedala and Getinge…

Abstract

In this chapter, six cases are presented, four from Poland and two from Hungary. The Polish cases are Partec Rockwool, PLM, Bulten Tools, and Vattenfall, while Svedala and Getinge belong to Hungary.

The cases have been described in different phases following the conceptual framework, developed in chapter six. All cases we present in three phases except Svedala where there are two phases. In the later case, neither the alliance nor the partners could be traced. Among the cases, level of performance varied. Getinge is the only case where the partners continued with the same alliance and the ownership structure remained unchanged. In Partec, the foreign partner acquired the local shares to establish a wholly owned subsidiary, and in Bulten Tool, the foreign partner became the major owner to have control over the company. Partec Rockwool and Vattenfall had been sold to other companies after amicable settlement between the partners.

Details

Transformation of Strategic Alliances in Emerging Markets, Volume II
Type: Book
ISBN: 978-1-80043-748-7

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