Research graph
References from Artificial intelligence investments and nuclear energy consumption: evidence from Europe. Local targets link to admitted publications; unresolved targets remain external evidence.
Innovation network
10.1073/pnas.1613559113 · 2016 · External reference
Renewable energy consumption and economic growth: evidence from a panel of OECD countries
10.1016/j.enpol.2009.09.002 · 2010 · External reference
Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations
10.2307/2297968 · 1991 · External reference
Artificial intelligence-driven advances in nuclear technology: exploring innovations, applications, and future prospects
10.1016/j.anucene.2024.111151 · 2025 · External reference
Exploring the role of robots and artificial intelligence in advancing renewable energy consumption
10.3390/en17174474 · 2024 · External reference
10.1007/978-3-030-53953-5
10.1007/978-3-030-53953-5 · 2008 · External reference
Nonstationary panels, cointegration in panels and dynamic panels: a survey
10.1016/s0731-9053(00)15002-9 · 2000 · External reference
What to do (and not to do) with time-series cross-section data
10.2307/2082979 · 1995 · External reference
The environmental Kuznets curve, economic growth, renewable and non-renewable energy, and trade in Tunisia
10.1016/j.rser.2015.02.049 · 2015 · External reference
Artificial intelligence in the field of economics
10.1007/s11192-022-04294-w · 2022 · External reference
Unresolved reference
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Initial conditions and moment restrictions in dynamic panel data models
10.1016/s0304-4076(98)00009-8 · 1998 · External reference
Growing environmental footprint of plastics driven by coal combustion
10.1038/s41893-021-00807-2 · 2022 · External reference
AI and Nuclear: a perfect intersection of danger and potential?
10.1016/j.eneco.2024.107506 · 2024 · External reference
10.1108/techs-10-2022-0039 · 2023 · Admitted local publication
10.1108/techs-12-2023-0056 · 2024 · Admitted local publication
Forecasting nuclear energy consumption in China and America: an optimized structure-adaptative grey model
10.1016/j.energy.2021.121928 · 2022 · External reference
Back to the future – from nuclear energy to AI
10.1186/s42467-025-00017-y · 2025 · External reference
Consistent covariance matrix estimation with spatially dependent panel data
10.1162/003465398557825 · 1998 · External reference
Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review
10.3389/fnuen.2024.1355630 · 2024 · External reference
EU taxonomy for sustainable activities: complementary climate delegated act
2024 · External reference
The effects of international sanctions on green innovations
10.3846/tede.2022.17782 · 2023 · External reference
Cost overruns and financial risk in the construction of nuclear power reactors: a critical appraisal
10.1016/j.enpol.2016.04.001 · 2017 · External reference
Unresolved reference
2012 · External reference
Unresolved reference
2024 · External reference
Artificial intelligence and innovation management: a review, framework, and research agenda
10.1016/j.techfore.2020.120392 · 2021 · External reference
Comparison of the accident process, radioactivity release and ground contamination between Chernobyl and Fukushima-1
10.1093/jrr/rrv074 · 2015 · External reference
Enhancing nuclear power production with artificial intelligence
2024 · External reference
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Unresolved reference
2025 · External reference
10.1016/s0304-4076(98)00023-2 · 1999 · Admitted local publication
The worldwide governance indicators: methodology and analytical issues
10.1596/1813-9450-5430 · 2011 · External reference
10.1108/techs-12-2022-0047 · 2023 · Admitted local publication
Unresolved reference
2024 · External reference
Unit root tests in panel data: asymptotic and finite-sample properties
10.1016/s0304-4076(01)00098-7 · 2002 · External reference
CFD-DEM simulation of proppant pack stability during flowback in a rough fracture using supercritical CO2
10.1016/j.geoen.2023.212599 · 2024 · External reference
ESG performance and green innovation: an investigation based on quantile regression
10.1002/bse.3410 · 2023 · External reference
Artificial intelligence: a survey on evolution, models, applications and future trends
10.1080/23270012.2019.1570365 · 2019 · External reference
The road to achieving the long-term Paris targets: energy transition and the role of direct air capture
10.1007/s10584-017-2051-8 · 2017 · External reference
Destined for decline? Examining nuclear energy from a technological innovation systems perspective
10.1016/j.erss.2020.101512 · 2020 · External reference
Recalibrating global data center energy-use estimates
10.1126/science.aba3758 · 2020 · External reference
10.1108/techs-04-2024-0033 · 2024 · Admitted local publication
Unresolved reference
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Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis
10.1017/s0266466604203073 · 2004 · External reference
General diagnostic tests for cross section dependence in panels
10.2139/ssrn.572504 · 2004 · External reference
A simple panel unit root test in the presence of cross-section dependence
10.1002/jae.951 · 2007 · External reference
Testing slope homogeneity in large panels
10.1016/j.jeconom.2007.05.010 · 2008 · External reference
Energy infrastructure: investment, sustainability and AI
10.1016/j.resourpol.2024.104807 · 2024 · External reference
Environmental policy and innovation: a decade of research
10.1561/101.00000111 · 2019 · External reference
Trend estimators and serial correlation
1954 · External reference
How to do xtabond2: an introduction to difference and system GMM in Stata
10.1177/1536867x0900900106 · 2009 · External reference
Renewable energy consumption, CO2 emissions and oil prices in the G7 countries
10.1016/j.eneco.2008.12.010 · 2009 · External reference
Application of artificial intelligence techniques for modeling, optimizing, and controlling desalination systems powered by renewable energy resources
10.1016/j.jclepro.2023.137486 · 2023 · External reference
The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: a global study with the application of heterogeneous panel estimations
10.1016/j.renene.2018.10.052 · 2019 · External reference
10.1142/7895
10.1142/7895 · 2011 · External reference
10.1017/cbo9780511614491.006
10.1017/cbo9780511614491.006 · 2005 · External reference
The German energy transition as a regime shift
10.1016/j.ecolecon.2014.01.019 · 2014 · External reference
Unresolved reference
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A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting
10.1016/j.apenergy.2011.12.030 · 2012 · External reference
10.1108/techs-09-2021-0005 · 2022 · Admitted local publication
The role of artificial intelligence in achieving the sustainable development goals
10.1038/s41467-019-14108-y · 2020 · External reference
Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects
10.1108/bpmj-10-2019-0411 · 2020 · External reference
A review of applications of artificial intelligent algorithms in wind farms
10.1007/s10462-019-09768-7 · 2019 · External reference
The impacts of democracy on innovation: revisited evidence
10.1016/j.technovation.2021.102333 · 2021 · External reference
Toward sustainable development: does the rising oil price stimulate innovation in climate change mitigation technologies?
10.1016/j.eap.2023.06.034 · 2023 · External reference
Unresolved reference
2010 · External reference
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Measuring the extreme linkages and time-frequency co-movements among artificial intelligence and clean energy indices
10.1016/j.irfa.2024.103073 · 2024 · External reference
How does artificial intelligence promote renewable energy development? The role of climate finance
10.1016/j.eneco.2024.107493 · 2024 · External reference
Is green finance capable of promoting renewable energy technology? Empirical investigation for 64 economies worldwide
10.24136/oc.2023.013 · 2023 · External reference
Editorial: artificial intelligence applications in nuclear energy
10.3389/fenrg.2022.965581 · 2022 · External reference