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Research on Machine Learning-Based Method for Predicting Industrial Park Electric Vehicle Charging Load.

• Authors : Ma, Sijiang^1,2 (AUTHOR) ; Ning, Jin^1,2 (AUTHOR) ; Mao, Ning^1,3 (AUTHOR)

Subjects: *RENEWABLE energy transition (Government policy); *SUSTAINABLE transportation; *INDUSTRIAL districts

• Source: Sustainability (2071-1050). Sep2024, Vol. 16 Issue 17, p7258. 18p.

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Comparison of Artificial Intelligence and Machine Learning Methods Used in Electric Power System Operation.

• Authors : Hallmann, Marcel^1,2 (AUTHOR) ; Pietracho, Robert³ (AUTHOR) ; Komarnicki, Przemyslaw² (AUTHOR)

• Source: Energies (19961073). Jun2024, Vol. 17 Issue 11, p2790. 25p.

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Development of a methodology for assessing the adequacy of electric power systems.

• Authors : Krupenev, Dmitry S.¹ ; Boyarkin, Denis A.¹ ; Iakubovskii, Dmitrii V.¹

• Source: Global Energy Interconnection. Oct2022, Vol. 5 Issue 5, p543-550. 8p.

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Physics-aware Machine Learning for the Operation of Electric Power Systems

• Authors : Wehenkel, Louis

Subjects: artificial intelligence; machine learning; graph neural networks

• Source: Academia Europaea Workshop on AI Challenges for European Research and Academia, London, United Kingdom [GB], 4-5 September 2024

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Machine Learning Classifier for Supporting Generator's Impedance-Based Relay Protection Functions.

• Authors : Sarajcev, Petar¹ (AUTHOR) ; Lovric, Dino¹ (AUTHOR)

• Source: Energies (19961073). Apr2024, Vol. 17 Issue 8, p1820. 16p.

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Probabilistic Reliability Management for Changing Electric Power Systems

• Authors : Wehenkel, Louis

Subjects: probabilistic reliability management; stochastic programming; power system operation

• Source: Les clés de la curiosité, Paris, France [FR], 19/10/2023

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Enhancing anomaly detection in distributed power systems using autoencoder-based federated learning.

• Authors : Kea, Kimleang¹ (AUTHOR); Han, Youngsun¹ (AUTHOR); Kim, Tae-Kyung² (AUTHOR)

Subjects: *DEEP learning; *ANOMALY detection (Computer security); *ELECTRIC power systems

• Source: PLoS ONE. 8/18/2023, Vol. 18 Issue 8, p1-18. 18p.

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APPLICATION OF MACHINE LEARNING ALGORITHMS IN THE PROBLEMS OF IMPROVING MODE RELIABILITY OF MODERN POWER SYSTEMS.

• Authors : Kurbatsky, Viktor¹ ; Guliyev, Huseyngulu² ; Tomin, Nikita¹

• Source: Reliability: Theory & Applications. Dec2023, Vol. 18 Issue 4, p716-728. 13p.

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Manifold Learning in Electric Power System Transient Stability Analysis.

• Authors : Sarajcev, Petar¹ (AUTHOR) ; Lovric, Dino¹ (AUTHOR)

• Source: Energies (19961073). Dec2023, Vol. 16 Issue 23, p7810. 20p.

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On Deep Machine Learning Based Techniques for Electric Power Systems

• Authors : Balouji, Ebrahim, 1985

Subjects: Deep Learning; Cable faults; phase locked loop

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