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  1. 2024

  2. Comparison of multi-step forecasting methods for renewable energy

    Dolgintseva, E., Wu, H., Petrosian, O., Zhadan, A., Allakhverdyan, A. & Мартемьянов, А. А., 7 Mar 2024, (E-pub ahead of print) In: Energy Systems. 32 p.

    Research output: Contribution to journal › Article › peer-review

  3. Graph attention network enhanced power allocation for wireless cellular system

    Qiushi, S., Хе, Я. & Petrosyan, O., 11 Jan 2024, In: Informatics and Automation. 23, 1, p. 259–283 25 p.

    Research output: Contribution to journal › Article › peer-review

  4. 2023

  5. Long-Term Forecasting of Air Pollution Particulate Matter (PM2. 5) and Analysis of Influencing Factors

    Zhang, Y., Sun, Q., Liu, J. & Petrosian, O., 19 Dec 2023, In: Sustainability. 16, 1, 19.

    Research output: Contribution to journal › Article › peer-review

  6. Microgrid control for renewable energy sources based on deep reinforcement learning and numerical optimization approaches*

    Zhadan, A. U., Wu, H., Kudin, P. S., Zhang, Y. & Petrosian, O. L., 1 Nov 2023, In: Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya. 19, 3, p. 391-402 12 p.

    Research output: Contribution to journal › Article › peer-review

  7. Multi-agent Reinforcement Learning based Adaptive Heterogeneous DAG Scheduling

    Петросян, О. Л., Жадан, А. Ю., Аллахвердян, А. Л., Кондратов, И. В., Михеев, В. С., Romanovskii, A. & Kharin, V., 3 Oct 2023, In: ACM Transactions on Intelligent Systems and Technology. 14, 5, 26 p., 87.

    Research output: Contribution to journal › Article › peer-review

  8. Audio-Visual Multi-modal Meeting Recording System

    Yang, W., Li, P., Yang, W., Liu, Y., Petrosian, O. & Ли, И., 21 Sep 2023, In: Lecture Notes in Networks and Systems. 776, p. 168-178 11 p.

    Research output: Contribution to journal › Article › peer-review

  9. Explainable AI: Graph Based Sampling Approach for High Dimensional AI System

    Zou, J., Xu, F., Petrosian, O. & Li, Y., 21 Sep 2023, In: Lecture Notes in Networks and Systems. 776, p. 410-422 13 p.

    Research output: Contribution to journal › Article › peer-review

  10. Forecasting online adaptation methods for energy domain

    У, Х., Долгинцева, Е. А., Жадан, А. Ю. & Петросян, О. Л., 1 Aug 2023, In: Engineering Applications of Artificial Intelligence. 123, Part C, 106499.

    Research output: Contribution to journal › Article › peer-review

  11. Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling

    Allahverdyan, A., Zhadan, A., Kondratov, I., Mikheev, V., Petrosian, O., Romanovskii, A. & Kharin, V., 8 Jul 2023, In: Lecture Notes in Computer Science. 13969, p. 335–349 15 p.

    Research output: Contribution to journal › Article › peer-review

  12. Resource Allocation in Heterogeneous Network with Supervised GNNs

    Sun, Q., Zhang, Y., Wu, H. & Petrosian, O., 8 Jul 2023, In: Lecture Notes in Computer Science. 13969, p. 350-361 12 p.

    Research output: Contribution to journal › Article › peer-review

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