Research graph
References from Monitoring the energy sustainability of artificial intelligence: the Sustainable AI–Renewable Energy Alignment Indicator. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2025 · External reference
Unresolved reference
2026 · External reference
The role of artificial intelligence in achieving the sustainable development goals
10.1038/s41467-019-14108-y · 2020 · External reference
Aligning artificial intelligence with climate change mitigation
10.1038/s41558-022-01377-7 · 2022 · External reference
Tackling climate change with machine learning
10.1145/3485128 · 2023 · External reference
AI for sustainability and the sustainability of AI
10.1007/s43681-021-00043-6 · 2021 · External reference
AI and the governance of sustainable development. an idea analysis of the european union, the united nations, and the world economic forum
10.1016/j.envsci.2023.103590 · 2023 · External reference
Commun
10.1145/3381831 · 2020 · External reference
Energy and policy considerations for deep learning in NLP
2019 · External reference
Towards the systematic reporting of the energy and carbon footprints of machine learning
2020 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Estimating the carbon footprint of BLOOM, a 176B parameter language model
2023 · External reference
Power hungry processing: watts driving the cost of AI deployment?
2024 · External reference
Digitalization and energy consumption. Does ICT reduce energy demand?
10.1016/j.ecolecon.2020.106760 · 2020 · External reference
The energy and carbon footprint of the global ICT and E&M sectors 2010-2015
10.3390/su10093027 · 2018 · External reference
Assessing ICT global emissions footprint: trends to 2040 and recommendations
10.1016/j.jclepro.2017.12.239 · 2018 · External reference
On global electricity usage of communication technology: trends to 2030
10.3390/challe6010117 · 2015 · External reference
Recalibrating global data center energy-use estimates
10.1126/science.aba3758 · 2020 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2016 · External reference
Unresolved reference
2004 · External reference
Unresolved reference
2015 · External reference
Does artificial intelligence promote energy transition and curb carbon emissions? The role of trade openness
10.1016/j.jclepro.2024.141298 · 2024 · External reference
Artificial intelligence and carbon emissions inequality: evidence from industrial robot application
10.1016/j.jclepro.2024.140817 · 2024 · External reference
The impact of digitalization on energy intensity in manufacturing sectors - A panel data analysis for Europe
10.1016/j.jclepro.2023.136598 · 2023 · External reference
The role of green finance, energy transition, and digitalization in OECD greenhouse gas emissions
10.1016/j.jclepro.2025.145865 · 2025 · External reference
Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence
10.1057/s41599-024-03520-5 · 2024 · External reference
Artificial intelligence in sustainable energy industry: status quo, challenges and opportunities
10.1016/j.jclepro.2021.125834 · 2021 · External reference
The role of renewable energy in the global energy transformation
10.1016/j.esr.2019.01.006 · 2019 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2023 · External reference
The next phase of the energy transition and its implications for research and policy
10.1038/s41560-018-0171-7 · 2018 · External reference
Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study
10.1016/s0048-7333(02)00062-8 · 2002 · External reference
Grid flexibility and storage required to achieve very high penetration of variable renewable electricity
10.1016/j.enpol.2011.01.019 · 2011 · External reference
Challenges and solution technologies for the integration of variable renewable energy sources - A review
10.1016/j.renene.2019.06.147 · 2020 · External reference
Energy system analysis of 100% renewable energy systems - the case of Denmark in years 2030 and 2050
10.1016/j.energy.2008.04.003 · 2009 · External reference
Response to ‘burden of proof: a comprehensive review of the feasibility of 100% renewable-electricity systems’
10.1016/j.rser.2018.04.113 · 2018 · External reference
Real-world challenges with a rapid transition to 100% renewable power systems
10.1016/j.joule.2018.02.002 · 2018 · External reference
Artificial intelligence and sustainable development: a global nonlinear analysis of the moderating roles of human capital and renewable energy
10.1016/j.rser.2025.116574 · 2026 · External reference
The influence of artificial intelligence and economic complexity on the energy transition: the moderating role of geopolitical risk
10.1007/s10098-026-03494-9 · 2026 · External reference
Navigating the energy trilemma: integrating technological innovation and digitalization transition for sustainable solutions
10.1016/j.apenergy.2026.127717 · 2026 · External reference
AI’s energy paradox: governing the trilemma of security, justice, and sustainability
2026 · External reference
Unresolved reference
2008 · External reference
Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators
10.1111/j.1467-985x.2005.00350.x · 2005 · External reference
Composite indicators between analysis and advocacy
10.1007/s11205-006-0024-9 · 2007 · External reference
Measuring the immeasurable - A survey of sustainability indices
10.1016/j.ecolecon.2007.03.008 · 2007 · External reference
Strengths and weaknesses of common sustainability indices for multidimensional systems
10.1016/j.envint.2007.09.004 · 2008 · External reference
An overview of sustainability assessment methodologies
10.1016/j.ecolind.2011.01.007 · 2012 · External reference
Review of sustainability indices and indicators: towards a new city sustainability index
10.1016/j.eiar.2011.06.001 · 2012 · External reference
When to use what: methods for weighting and aggregating sustainability indicators
10.1016/j.ecolind.2017.05.068 · 2017 · External reference
Unresolved reference
2008 · External reference
Unresolved reference
2005 · External reference
Unresolved reference
1980 · External reference
Best-worst multi-criteria decision-making method
10.1016/j.omega.2014.11.009 · 2015 · External reference
Determining objective weights in multiple criteria problems: the CRITIC method
10.1016/0305-0548(94)00059-h · 1995 · External reference
A mathematical theory of communication
10.1002/j.1538-7305.1948.tb01338.x · 1948 · External reference
Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
10.1016/s0378-4754(00)00270-6 · 2001 · External reference
Weights and importance in composite indicators: mind the gap
2017 · External reference
Measuring the environmental sustainability of a circular economy
2019 · External reference
Methodological choices for reflecting strong sustainability in composite indices
10.1016/j.ecolecon.2024.108192 · 2024 · External reference
Global environmental sustainability trends: a temporal comparison using an interval-based composite index
2024 · External reference
A sensitivity analysis of composite indicators: min/max thresholds
2024 · External reference
Interdependencies among SDGs: evidence-based insights for sustainable development indicators and policy
2025 · External reference
Good Environmental Status of marine ecosystems: what is it and how do we know when we have attained it?
10.1016/j.marpolbul.2013.08.042 · 2013 · External reference
Tales from a thousand and one ways to integrate marine ecosystem components when assessing the environmental status
10.3389/fmars.2014.00072 · 2014 · External reference
Climate vulnerability index - measure of climate change vulnerability to communities: a case of rural Lower Himalaya
10.1007/s11027-011-9338-2 · 2012 · External reference
Urban ecosystem health assessment: a review
10.1016/j.scitotenv.2010.03.009 · 2010 · External reference
Critical review of the energy-water-carbon nexus in cities
10.1016/j.energy.2019.01.048 · 2019 · External reference
Corporate carbon footprint analysis in practice - with a special focus on validity and reliability issues
10.1016/j.jclepro.2017.07.237 · 2017 · External reference
The illusion of the Holy Grail of decoupling: are there countries with relatively high SDGI and moderately low ecological footprint?
2024 · External reference
Role of economic complexity and technological innovation for ecological footprint in newly industrialized countries: does geothermal energy consumption matter?
10.1016/j.renene.2023.119059 · 2023 · External reference
Uncovering the organizational, environmental, and socio-economic sustainability of digitization: evidence from existing research
2024 · External reference
Public acceptance of renewable energy in a post-socialist, energy import-dependent context: evidence from Hungary
10.3390/en19040931 · 2026 · External reference
Navigating the Grey Zone: Sustainable AI governance and leadership in SMEs
2026 · External reference
Vállalati fenntarthatóság és fenntartható vállalkozások
10.32566/ah.2023.3.8 · 2023 · External reference
Carbon accounting measurement with digital non-financial corporate reporting and a comparison to European automotive companies statements
10.3390/en14185607 · 2021 · External reference
Broadening the perspective for sustainable artificial intelligence: sustainability criteria and indicators for artificial intelligence systems
10.1016/j.cosust.2023.101411 · 2024 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2026 · External reference
Net sustainability assessment of AI-driven data centers in the GCC: an MCDA approach framework
2026 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2025 · External reference
Unresolved reference
2023 · External reference
Data centre water consumption
10.1038/s41545-021-00101-w · 2021 · External reference
Unresolved reference
2026 · External reference
A mathematical theory of communication
10.1002/j.1538-7305.1948.tb01338.x · ExternalCitation · doi-reference
The influence of artificial intelligence and economic complexity on the energy transition: the moderating role of geopolitical risk
10.1007/s10098-026-03494-9 · ExternalCitation · doi-reference
Climate vulnerability index - measure of climate change vulnerability to communities: a case of rural Lower Himalaya
10.1007/s11027-011-9338-2 · ExternalCitation · doi-reference
Composite indicators between analysis and advocacy
10.1007/s11205-006-0024-9 · ExternalCitation · doi-reference
AI for sustainability and the sustainability of AI
10.1007/s43681-021-00043-6 · ExternalCitation · doi-reference
Determining objective weights in multiple criteria problems: the CRITIC method
10.1016/0305-0548(94)00059-h · ExternalCitation · doi-reference
Navigating the energy trilemma: integrating technological innovation and digitalization transition for sustainable solutions
10.1016/j.apenergy.2026.127717 · ExternalCitation · doi-reference
Broadening the perspective for sustainable artificial intelligence: sustainability criteria and indicators for artificial intelligence systems
10.1016/j.cosust.2023.101411 · ExternalCitation · doi-reference
Measuring the immeasurable - A survey of sustainability indices
10.1016/j.ecolecon.2007.03.008 · ExternalCitation · doi-reference
Digitalization and energy consumption. Does ICT reduce energy demand?
10.1016/j.ecolecon.2020.106760 · ExternalCitation · doi-reference
Methodological choices for reflecting strong sustainability in composite indices
10.1016/j.ecolecon.2024.108192 · ExternalCitation · doi-reference
An overview of sustainability assessment methodologies
10.1016/j.ecolind.2011.01.007 · ExternalCitation · doi-reference
When to use what: methods for weighting and aggregating sustainability indicators
10.1016/j.ecolind.2017.05.068 · ExternalCitation · doi-reference
Review of sustainability indices and indicators: towards a new city sustainability index
10.1016/j.eiar.2011.06.001 · ExternalCitation · doi-reference
Energy system analysis of 100% renewable energy systems - the case of Denmark in years 2030 and 2050
10.1016/j.energy.2008.04.003 · ExternalCitation · doi-reference
Critical review of the energy-water-carbon nexus in cities
10.1016/j.energy.2019.01.048 · ExternalCitation · doi-reference
Grid flexibility and storage required to achieve very high penetration of variable renewable electricity
10.1016/j.enpol.2011.01.019 · ExternalCitation · doi-reference
Strengths and weaknesses of common sustainability indices for multidimensional systems
10.1016/j.envint.2007.09.004 · ExternalCitation · doi-reference
AI and the governance of sustainable development. an idea analysis of the european union, the united nations, and the world economic forum
10.1016/j.envsci.2023.103590 · ExternalCitation · doi-reference
The role of renewable energy in the global energy transformation
10.1016/j.esr.2019.01.006 · ExternalCitation · doi-reference
Corporate carbon footprint analysis in practice - with a special focus on validity and reliability issues
10.1016/j.jclepro.2017.07.237 · ExternalCitation · doi-reference
Assessing ICT global emissions footprint: trends to 2040 and recommendations
10.1016/j.jclepro.2017.12.239 · ExternalCitation · doi-reference
Artificial intelligence in sustainable energy industry: status quo, challenges and opportunities
10.1016/j.jclepro.2021.125834 · ExternalCitation · doi-reference
The impact of digitalization on energy intensity in manufacturing sectors - A panel data analysis for Europe
10.1016/j.jclepro.2023.136598 · ExternalCitation · doi-reference
Artificial intelligence and carbon emissions inequality: evidence from industrial robot application
10.1016/j.jclepro.2024.140817 · ExternalCitation · doi-reference
Does artificial intelligence promote energy transition and curb carbon emissions? The role of trade openness
10.1016/j.jclepro.2024.141298 · ExternalCitation · doi-reference
The role of green finance, energy transition, and digitalization in OECD greenhouse gas emissions
10.1016/j.jclepro.2025.145865 · ExternalCitation · doi-reference
Real-world challenges with a rapid transition to 100% renewable power systems
10.1016/j.joule.2018.02.002 · ExternalCitation · doi-reference
Good Environmental Status of marine ecosystems: what is it and how do we know when we have attained it?
10.1016/j.marpolbul.2013.08.042 · ExternalCitation · doi-reference
Best-worst multi-criteria decision-making method
10.1016/j.omega.2014.11.009 · ExternalCitation · doi-reference
Challenges and solution technologies for the integration of variable renewable energy sources - A review
10.1016/j.renene.2019.06.147 · ExternalCitation · doi-reference
Role of economic complexity and technological innovation for ecological footprint in newly industrialized countries: does geothermal energy consumption matter?
10.1016/j.renene.2023.119059 · ExternalCitation · doi-reference
Response to ‘burden of proof: a comprehensive review of the feasibility of 100% renewable-electricity systems’
10.1016/j.rser.2018.04.113 · ExternalCitation · doi-reference
Artificial intelligence and sustainable development: a global nonlinear analysis of the moderating roles of human capital and renewable energy
10.1016/j.rser.2025.116574 · ExternalCitation · doi-reference
Urban ecosystem health assessment: a review
10.1016/j.scitotenv.2010.03.009 · ExternalCitation · doi-reference
Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study
10.1016/s0048-7333(02)00062-8 · ExternalCitation · doi-reference
Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
10.1016/s0378-4754(00)00270-6 · ExternalCitation · doi-reference
The role of artificial intelligence in achieving the sustainable development goals
10.1038/s41467-019-14108-y · ExternalCitation · doi-reference
Data centre water consumption
10.1038/s41545-021-00101-w · ExternalCitation · doi-reference
Aligning artificial intelligence with climate change mitigation
10.1038/s41558-022-01377-7 · ExternalCitation · doi-reference
The next phase of the energy transition and its implications for research and policy
10.1038/s41560-018-0171-7 · ExternalCitation · doi-reference
Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence
10.1057/s41599-024-03520-5 · ExternalCitation · doi-reference
Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators
10.1111/j.1467-985x.2005.00350.x · ExternalCitation · doi-reference
Recalibrating global data center energy-use estimates
10.1126/science.aba3758 · ExternalCitation · doi-reference
Commun
10.1145/3381831 · ExternalCitation · doi-reference
Tackling climate change with machine learning
10.1145/3485128 · ExternalCitation · doi-reference
Vállalati fenntarthatóság és fenntartható vállalkozások
10.32566/ah.2023.3.8 · ExternalCitation · doi-reference
Tales from a thousand and one ways to integrate marine ecosystem components when assessing the environmental status
10.3389/fmars.2014.00072 · ExternalCitation · doi-reference
On global electricity usage of communication technology: trends to 2030
10.3390/challe6010117 · ExternalCitation · doi-reference
Carbon accounting measurement with digital non-financial corporate reporting and a comparison to European automotive companies statements
10.3390/en14185607 · ExternalCitation · doi-reference
Public acceptance of renewable energy in a post-socialist, energy import-dependent context: evidence from Hungary
10.3390/en19040931 · ExternalCitation · doi-reference
The energy and carbon footprint of the global ICT and E&M sectors 2010-2015
10.3390/su10093027 · ExternalCitation · doi-reference
