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Energy production mix in the EU: a machine learning and data mining analysis

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Resumo:Climate change is a threat to the earth’s ecosystem. This phenomenon is driven by natural as well as human forces. Anthropogenic contributions to climate change increased steadily since the pre-industrial era. This resulted in greenhouse gas (GHG) emissions reaching the highest point in the recent human history. As a consequence, the high concentration of GHG in the atmosphere contributes to rising ocean and surface temperatures, melting of ice covers, rising of average sea levels, the occurrence of extreme weather and climate events (IPCC, 2014). The main drivers of anthropogenic GHG emissions are “population size, economic activity, lifestyle, energy use, land use patterns, technology and climate policy” (IPCC, 2014, p. 8). Without any action on mitigating the emissions of GHG more extreme and irreversible events will impact the ecosystem and humanity (IPCC, 2014).
Autores principais:Stahlhacke, Marco
Assunto:Mechanics and Relationships Strategies and Policies Challenges of the Energy Transition SDG 7 - Affordable and clean energy SDG 13 - Climate action
Ano:2020
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL

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