Publicação
Energy production mix in the EU: a machine learning and data mining analysis
| 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 |
| _version_ | 1868983787642159104 |
|---|---|
| author | Stahlhacke, Marco |
| author_facet | Stahlhacke, Marco |
| author_role | author |
| contributor_name_str_mv | Groznik, Aleš Henriques, Roberto André Pereira RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Stahlhacke, Marco\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Groznik, Aleš Henriques, Roberto André Pereira RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Stahlhacke, Marco |
| datacite.date.Accepted.fl_str_mv | 2020-10-30T00:00:00Z |
| datacite.date.available.fl_str_mv | 2021-02-09T19:13:19Z |
| datacite.date.embargoed.fl_str_mv | 2021-02-09T19:13:19Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Mechanics and Relationships Strategies and Policies Challenges of the Energy Transition SDG 7 - Affordable and clean energy SDG 13 - Climate action |
| datacite.titles.title.fl_str_mv | Energy production mix in the EU: a machine learning and data mining analysis |
| dc.contributor.none.fl_str_mv | Groznik, Aleš Henriques, Roberto André Pereira RUN |
| dc.creator.none.fl_str_mv | Stahlhacke, Marco |
| dc.date.Accepted.fl_str_mv | 2020-10-30T00:00:00Z |
| dc.date.available.fl_str_mv | 2021-02-09T19:13:19Z |
| dc.date.embargoed.fl_str_mv | 2021-02-09T19:13:19Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/111555 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Mechanics and Relationships Strategies and Policies Challenges of the Energy Transition SDG 7 - Affordable and clean energy SDG 13 - Climate action |
| dc.title.fl_str_mv | Energy production mix in the EU: a machine learning and data mining analysis |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_bdcc |
| description | 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). |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/9aa79b27-bff2-488c-9c20-ba503d69effa/download |
| id | run_fd90ebfcd6981b0771bbded4d1e05049 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/111555 |
| inst_facet_str | urn:organizationAcronym:unl{{{_:::_}}}Universidade Nova de Lisboa |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/111555 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Stahlhacke, Marco |
| publishDate | 2020 |
| repo_facet_str | urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL |
| reponame_str | Repositório Institucional da UNL |
| repository_id_str | urn:repositoryAcronym:run |
| service_str_mv | urn:repositoryAcronym:run |
| spelling | engpt_PTClimate 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).application/pdfpt_PTEnergy production mix in the EU: a machine learning and data mining analysisStahlhacke, MarcoGroznik, AlešHenriques, Roberto André PereiraHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNurn:tid:2026292012021-02-09T19:13:19Z2020-10-302020-10-30T00:00:00ZHandlehttp://hdl.handle.net/10362/111555http://purl.org/coar/access_right/c_abf2open accessMechanics and RelationshipsStrategies and PoliciesChallenges of the Energy TransitionSDG 7 - Affordable and clean energySDG 13 - Climate action9603206 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesis2020-10-30http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/9aa79b27-bff2-488c-9c20-ba503d69effa/download |
| spellingShingle | Energy production mix in the EU: a machine learning and data mining analysis Stahlhacke, Marco Mechanics and Relationships Strategies and Policies Challenges of the Energy Transition SDG 7 - Affordable and clean energy SDG 13 - Climate action |
| status | SINGLETON |
| subject.fl_str_mv | Mechanics and Relationships Strategies and Policies Challenges of the Energy Transition SDG 7 - Affordable and clean energy SDG 13 - Climate action |
| title | Energy production mix in the EU: a machine learning and data mining analysis |
| title_full | Energy production mix in the EU: a machine learning and data mining analysis |
| title_fullStr | Energy production mix in the EU: a machine learning and data mining analysis |
| title_full_unstemmed | Energy production mix in the EU: a machine learning and data mining analysis |
| title_short | Energy production mix in the EU: a machine learning and data mining analysis |
| title_sort | Energy production mix in the EU: a machine learning and data mining analysis |
| topic | Mechanics and Relationships Strategies and Policies Challenges of the Energy Transition SDG 7 - Affordable and clean energy SDG 13 - Climate action |
| topic_facet | Mechanics and Relationships Strategies and Policies Challenges of the Energy Transition SDG 7 - Affordable and clean energy SDG 13 - Climate action |
| url | http://hdl.handle.net/10362/111555 |
| visible | 1 |