← Search

Data · dataset · 2025

Source-wise power generation dataset of Australia, France, Germany, United States and United Kingdom

Listed in Teesside University Research Data Repository

Description

This dataset, developed to complement the article “Forecasting and predictive analysis of source-wise power generation along with economic aspects for developed countries” in Energy Conversion and Management: X, compiles meticulously curated records of energy production and economic indicators for Australia, the United States, France, Germany, and the United Kingdom, covering the period 1968–2022. It integrates source-wise electricity generation (coal, oil, gas, nuclear, hydro, solar, wind, biomass) with R&D investment trends and low-carbon transition metrics, offering a high-quality foundation for advanced forecasting, machine learning applications, and techno-economic policy analysis.

By enabling cross-country comparisons of renewable integration, fossil fuel dependency, and the economic impact of RD&D strategies, this dataset provides researchers and policymakers with a rare opportunity to replicate, validate, and expand predictive models while uncovering new insights into sustainable energy planning. Its structured, ready-to-use format not only enhances reproducibility but also positions it as a valuable reference for future studies in energy forecasting, climate policy, and global economic development.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 14 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/d7zvwyx7m8.111 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].anzsrc:group:4611mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Machine Learning']
concepts[field].local:field:computer-science-aimapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:economics-financemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:energymapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:engineeringmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:humanitiesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:life-sciencesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:social-sciencemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title