Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework | Paper Citation Record

Observation d4fca3d5-4c14-4c53-ad05-9d700e439999 · outbound

This paper cites Artificial intelligence for smart renewable energy sector in europe - Smart energy infrastructures for next generation smart cities,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Artificial intelligence for smart renewable energy sector in europe - Smart energy infrastructures for next generation smart cities,

Reference 1

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Observation e16b3d75-f454-4b9e-a0a2-ef293488c7a8 · outbound

This paper cites In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.636173Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 096efc44-ffaa-4035-9382-1b48980a6cdb · outbound

This paper cites A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers

Reference 3

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This paper cites Transfer Learning for Day-Ahead Load Forecasting: A Case Study on European National Electricity Demand Time Series,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Transfer Learning for Day-Ahead Load Forecasting: A Case Study on European National Electricity Demand Time Series,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.627421Z

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Observation beed8a69-24ff-4119-8fb8-82aa3b9b277a · outbound

This paper cites A machine learning-based framework for clus- tering residential electricity load profiles to enhance demand response programs,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework A machine learning-based framework for clus- tering residential electricity load profiles to enhance demand response programs,

Reference 5

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Observation cd30f582-3f04-491b-979c-c017193bdea9 · outbound

This paper cites Application of Artificial Intelligence for EV Charging and Discharging Scheduling and Dynamic Pricing: A Review,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Application of Artificial Intelligence for EV Charging and Discharging Scheduling and Dynamic Pricing: A Review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.608710Z

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Observation 8952e359-a770-4ecd-aef1-8bb2a3aaf320 · outbound

This paper cites Non-Intrusive Load Monitoring: A Review,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Non-Intrusive Load Monitoring: A Review,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.597894Z

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This paper cites The Current State of the Art in Research on Predictive Main- tenance in Smart Grid Distribution Network: Fault’s Types, Causes, and Prediction Methods—A Systematic Review,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework The Current State of the Art in Research on Predictive Main- tenance in Smart Grid Distribution Network: Fault’s Types, Causes, and Prediction Methods—A Systematic Review,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.587916Z

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Observation 106ca75b-5873-4d86-9991-c1f630e8366f · outbound

This paper cites Analysis of cyber-attacks on smart grid applications,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Analysis of cyber-attacks on smart grid applications,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.577860Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cda6610f-ecb8-468e-99ee-6e7d8bff7da0 · outbound

This paper cites Adversarial attacks on deep learning models in smart grids,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Adversarial attacks on deep learning models in smart grids,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.567573Z

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Observation 74c3cb3f-0b33-4f74-a13b-c539530c329c · outbound

This paper cites Avoiding Occupancy Detection from Smart Meter Using Adversarial Machine Learning,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Avoiding Occupancy Detection from Smart Meter Using Adversarial Machine Learning,

Reference 11

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Observation 58d2f629-7a04-43c8-b7fb-03bdee720adc · outbound

This paper cites Smart Cities: A Survey on Data Management, Security, and Enabling Technologies,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Smart Cities: A Survey on Data Management, Security, and Enabling Technologies,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.547547Z

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Observation e8ab34cc-3d88-490d-a034-48cca4bf395e · outbound

This paper cites ‘Human oversight’ in the EU artificial intelligence act: what, when and by whom?.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework ‘Human oversight’ in the EU artificial intelligence act: what, when and by whom?

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.538724Z

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Observation f73e7bae-e017-4c18-8b6f-79371da589cd · outbound

This paper cites Sustainable AI: Environ- mental Implications, Challenges and Opportunities,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Sustainable AI: Environ- mental Implications, Challenges and Opportunities,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.529713Z

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Observation 7fa3af33-dd4c-4409-a8e1-50547cd9f391 · outbound

This paper cites Concrete Problems in AI Safety,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Concrete Problems in AI Safety,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.520564Z

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Observation 639f38cb-9ed3-4ed5-8bc2-dc0cfb5a9b25 · outbound

This paper cites AI and Energy Justice,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework AI and Energy Justice,

Reference 16

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This paper cites A Novel Cyberattack-Resilient Frequency Control Method for Interconnected Power Systems Using SMO-based Attack Estimation,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework A Novel Cyberattack-Resilient Frequency Control Method for Interconnected Power Systems Using SMO-based Attack Estimation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.501433Z

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Observation 2512d6f6-5a0f-4daf-8268-9b04b754b12f · outbound

This paper cites SearchFromFree: Adversarial Mea- surements for Machine Learning-based Energy Theft Detection,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework SearchFromFree: Adversarial Mea- surements for Machine Learning-based Energy Theft Detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.491828Z

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Observation a5758e91-1d07-4571-8699-05a91d5ce5f5 · outbound

This paper cites Ethics guidelines for trustworthy AI — Shaping Europe’s digital future,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Ethics guidelines for trustworthy AI — Shaping Europe’s digital future,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.480665Z

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Observation afd74645-8c01-4148-90a6-4fd968ec3e39 · outbound

This paper cites White Paper On Artificial Intelligence - A European approach to excellence and trust,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework White Paper On Artificial Intelligence - A European approach to excellence and trust,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.471626Z

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This paper cites an unresolved cited work.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 21

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Observation 2cb8bac1-4676-4fc7-b6c9-877ddc3e7255 · outbound

This paper cites Artificial intelligence for next generation energy services across Europe - The I-NERGY project,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Artificial intelligence for next generation energy services across Europe - The I-NERGY project,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.452669Z

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This paper cites Targeted demand response for flexible energy communities using clustering techniques,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Targeted demand response for flexible energy communities using clustering techniques,

Reference 23

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This paper cites DeepTSF: Codeless machine learning operations for time series forecasting,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework DeepTSF: Codeless machine learning operations for time series forecasting,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.433113Z

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This paper cites Data-driven building energy efficiency prediction based on envelope heat losses using physics-informed neural networks,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Data-driven building energy efficiency prediction based on envelope heat losses using physics-informed neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.422715Z

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This paper cites AI4EU, AI4EU - The European AI on Demand Platform, 2020.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework AI4EU, AI4EU - The European AI on Demand Platform, 2020

Reference 26

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Observation 8ebbcc79-e744-4869-8a04-e85b3879cf46 · outbound

This paper cites an unresolved cited work.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 27

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This paper cites an unresolved cited work.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 28

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Observation c024102b-3dfc-4867-84bd-97a6067691ea · outbound

This paper cites Trustworthy AI: From Principles to Practices,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Trustworthy AI: From Principles to Practices,

Reference 29

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This paper cites Enabling Trustworthiness in Sustainable Energy Infrastructure Through Blockchain and AI-Assisted Solutions,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Enabling Trustworthiness in Sustainable Energy Infrastructure Through Blockchain and AI-Assisted Solutions,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.371953Z

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 31

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This paper cites an unresolved cited work.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 32

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This paper cites Charter of Fundamental Rights of the European Union,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Charter of Fundamental Rights of the European Union,

Reference 33

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 34

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This paper cites Policy and investment recommendations for trustworthy Artificial Intelligence,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Policy and investment recommendations for trustworthy Artificial Intelligence,

Reference 35

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 36

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 37

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This paper cites Assessment list for the responsible development and use of AI,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Assessment list for the responsible development and use of AI,

Reference 38

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 39

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This paper cites Smart Grids and Eth-ics,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Smart Grids and Eth-ics,

Reference 40

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 41

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This paper cites The cost of incidents affecting CIIs,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework The cost of incidents affecting CIIs,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.248774Z

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This paper cites Energy justice: Conceptual insights and practical applications,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Energy justice: Conceptual insights and practical applications,

Reference 43

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This paper cites an unresolved cited work.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 44

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Observation e64b56c8-9a54-47d7-b35d-b250f4e9bd8a · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Quantifying the Carbon Emissions of Machine Learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.221865Z

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This paper cites an unresolved cited work.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 46

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This paper cites Life cycle assessment of greenhouse gas emissions,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Life cycle assessment of greenhouse gas emissions,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.200673Z

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Observation e0552fa7-9402-4dd3-9f17-a74780c79d37 · outbound

This paper cites an unresolved cited work.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:18:07.188824Z

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Observation d8a6e7fc-e8f1-42db-ae09-e29fe157f4d0 · outbound

This paper cites An approach for a fundamental rights impact assess- ment to automated decision-making,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework An approach for a fundamental rights impact assess- ment to automated decision-making,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.177636Z

Source-reported events for the cited work

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Observation 46cc9613-be1b-4a89-9aec-528e21a3f051 · outbound

This paper cites an unresolved cited work.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 50

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Observation 2fb0e32e-c85c-424e-be4a-0d6b80074c30 · outbound

This paper cites an unresolved cited work.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 51

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Observation f2e8fe09-0443-463f-8b75-33c011a4d9f1 · outbound

This paper cites Adversarial Robustness Toolbox v1.0.0,.

Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Adversarial Robustness Toolbox v1.0.0,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:18:07.145616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Securing Web Services with Keycloak,

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Reference 55

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Datasheets for datasets,

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Reference 61

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Reference 62

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework AI Fairness 360: An ex- tensible toolkit for detecting, understanding, and mitigating unwanted algorithmic bias,

Reference 63

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Aequitas: A Bias and Fairness Audit Toolkit,

Reference 64

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Reference 65

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Themis-ml: A Fairness-aware Machine Learning Inter- face for End-to-end Discrimination Discovery and Mitigation,

Reference 66

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Using AI to help achieve Sustainable Development Goals — United Nations Develop- ment Programme,

Reference 67

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework The role of artificial intelligence in achieving the Sustainable Development Goals,

Reference 68

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Reference 69

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Reference 70

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 71

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 72

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Erbach, Energy Union Strategy, 2015

Reference 73

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 74

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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work

Reference 75

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Reference 76

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Outbound references

Pith citing papers