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Title Machine Analysis of the UK Electrical Energy Initiatives Based on the E-petitions to the UK Government and Parliament
Authors Kolosok, Svitlana Ivanivna  
Vasylieva, Tetiana Anatoliivna  
Lieonov, Serhii Viacheslavovych  
ORCID http://orcid.org/0000-0002-5133-9878
http://orcid.org/0000-0003-0635-7978
http://orcid.org/0000-0001-5639-3008
Keywords electrical energy initiatives
electrical energy grids
machine analysis
text mining
UK epetitions
ініціативи в галузі електроенергетики
инициативы в области электроэнергетики
електромережі
электросети
машинний аналіз
машинный анализ
майнінг тексту
майнинг текста
події Великобританії
события Великобритании
Type Conference Papers
Date of Issue 2021
URI https://essuir.sumdu.edu.ua/handle/123456789/85484
Publisher RWTH Aachen University
License Creative Commons Attribution 4.0 International License
Citation Kolosok S., Vasylieva T., Lieonov S. Machine Analysis of the UK Electrical Energy Initiatives Based on the E-petitions to the UK Government and Parliament. // COLINS-2021 : 5th International Conference on Computational Linguistics and Intelligent Systems, Kharkiv, Ukraine, April 22–23. 2021. Vol. 2870.
Abstract In recent decades, the EU has implemented many energy programs to expand the production and consumption of clean energy and build a pan-European energy network. The UK has also accomplished energy initiatives to improve grid security, increase energy independence, and reduce renewable energy costs. However, the UK population did not always support these initiatives and facilitate their implementation. This study was analyzed the UK e-petitions using machine analysis tools to identify the main reasons for public dissatisfaction with the UK's electrical energy initiatives. The e-petitions dataset was uploaded from the UK Government and Parliament website (the 33436 petitions for 2017-2020). For our research on electric energy in the UK, the 100 petitions related to the electricity sector issues were selected. Our study shows that most UK petitions of the energy sector sample belong to installing solar panels and reducing bills for energy resources.
Appears in Collections: Наукові видання (ННІ БіЕМ)

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