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Use Of Ternary Optimization in the Integrated Energy Systems Cover

References

  1. A. Zaporozhets et al., “Structure Optimization of Power Systems with Renewable Energy Sources”, Systems, Decision and Control, vol. 583. https://doi.org/10.1007/978-3-031-83697-8
  2. V. Denysov et al., “Modeling Nuclear-Centric Scenarios for Ukraine’s Low-Carbon Energy Transition Using Diffusion and Regression Techniques”, Energies, vol. 17, no. 20, 5229, 2024. https://doi.org/10.3390/en17205229
  3. Hotra, O.; Kulyk, M.; Babak, V.; Kovtun, S.; Zgurovets, O.; Mroczka, J.; Kisala, P. “Organisation of the Structure and Functioning of SelfSufficient Distributed Power Generation”, Energies, 2024, 17(1), 27. https://doi.org/10.3390/en17010027
  4. Babak, V., & Kulyk, M., “Increasing the Efficiency and Security of Integrated Power System Operation Through Heat Supply Electrification in Ukraine. Science and Innovation”, 19(5), 2023, 100–116. https://doi.org/10.15407/scine19.05.100
  5. V. Denysov et al., “Accounting the Forecasting Stochasticity at the Power System Modes Optimization” Studies in Systems, Decision and Control, Cham, 2023, P. 43-55. https://doi.org/10.1007/978-3-031-35088-7_3
  6. Denisov V., “Integrated Power System multinode model, taking into account the nondispatchable of renewable energy sources”, 2022 IEEE 8th International Conference on Energy Smart Systems (ESS), Kyiv, Ukraine, 12–14 October 2022. https://doi.org/10.1109/ess57819.2022. 9969255
  7. A. Zaporozhets et al., “Power System Resilience: An Overview of Current Metrics and Assessment Criteria”, Studies in Systems, Decision and Control. Cham, 2024, 35–58. https://doi.org/10.1007/978-3-031-68372-5_2
  8. V. Denysov et al., “Quasi-dynamic Energy Complexes Optimal Use on the Forecasting Horizon”, Studies in Systems, Decision and Control. Cham, 2024, 81–107, https://doi.org/10.1007/978-3-031-68372-5_4
  9. M. Kulyk et al., “Possibilities and Perspectives of the Wind and Solar Power Plants Application in Combined Energy Systems”, Studies in Systems, Decision and Control. Cham, 2024, 321–341. https://doi.org/10.1007/978-3-031-67091-6_14
  10. V. Denysov et al., “Energy System Optimization Potential with Consideration of Technological Limitations”, Studies in Systems, Decision and Control. Cham, 2024, 113–126. https://doi.org/10.1007/978-3-031-66764-0_5
  11. B.-C. Oh et al., “Hierarchical Energy Hub Planning in Integrated Multi-Energy Systems Using Pareto Optimization”, SSRN Electronic Journal, 2022. https://doi.org/10.2139/ssrn.4194559
  12. Systems I. T. o. E. E., “Retracted: Application of BIM Digital Information Technology in the Economic Optimization Operation of Integrated Energy Systems”, International Transactions on Electrical Energy Systems, vol. 2023, 2023, 1. https://doi.org/10.1155/2023/9796246
  13. Ezekwugo J. U., Ibe A., Nteegah A., “Optimization of Integrated Energy Systems in a Developing Economy using Technology”, American Journal of Economics and Business Administration, vol. 14, no. 1, 2022, 1–11. https://doi.org/10.3844/ajebasp.2022.1.11
  14. W. Tang et al., “Operation optimization of regional integrated energy systems”, Energy Science & Engineering, 2023. https://doi.org/10.1002/ese3.1596
  15. P. A., B. N., J. J., “Bi-level energy optimization model in smart integrated engineering systems using WSN”, Energy Reports, vol. 8., 2022, 2490–2495. https://doi.org/10.1016/j.egyr.2022.01.183
  16. Y. Zhou et al., “Optimization of integrated energy systems considering seasonal thermal energy storage” Journal of Energy Storage, vol. 71, 2023, 108094. https://doi.org/10.1016/j.est.2023.108094
  17. Qin C., Yan Q., He G., “Integrated energy systems planning with electricity, heat and gas using particle swarm optimization”, Energy, vol. 188, 2019. 116044. https://doi.org/10.1016/j.energy.2019.116044
  18. B. Soleimani et al., “Integrated optimization of multi-carrier energy systems: Waterenergy nexus case”, Energy, 2022, 124764. https://doi.org/10.1016/j.energy.2022.124764
  19. J. Gao et al., “Robust optimization for integrated energy systems based on multienergy trading” Energy, 2024, 132302. https://doi.org/10.1016/j.energy.2024.132302
  20. E. Nidziy et al., “Energy Storage Optimization in Renewable Energy Systems using Particle Swarm Optimization”, E3S Web of Conferences, vol. 581, 2024, 01021. https://doi.org/10.1051/e3sconf/202458101021
  21. Conte J. C., “Energy transfer in ternary systems”, Transactions of the Faraday Society, vol. 65, 1969, 2382. https://doi.org/10.1039/tf969650 2382
  22. Hills S., Dana S., Wang H., “Dynamic simulation and optimization of integrated clean energy water systems”, iScience, vol. 25, no. 4, 2022, 104015. https://doi.org/10.1016/j.isci.2022.104015
  23. Y Wang et al., “Operational optimization of integrated energy systems considering demandside flexibility”, Journal of Physics: Conference Series, vol. 2205, no. 1. 2022, 012006. https://doi.org/10.1088/1742-6596/2205/1/012006
  24. W. H. Liu et al., “Development and optimization of an integrated energy network with centralized and decentralized energy systems using mathematical modelling approach”, Energy, vol.183, 2019, 617–629. https://doi.org/10.1016/j.energy.2019.06.158
  25. C. Mu et al., “Decentralized optimization operation for the multiple integrated energy systems with energy cascade utilization”, Applied Energy, vol. 280, 2020, 115989. https://doi.org/10.1016/j.apenergy.2020.115989
  26. Mary V. B., Narmadha T. V., “Optimization of Integrated Hybrid Systems Using Model Predictive Controller”, Electric Power Components and Systems, 2023, 1–17. https://doi.org/10.1080/15325008.2023.2218366
  27. J. Zhou et al., “Multi-objective optimization of integrated energy systems based on demand response”, Energy Sources., Part A: Recovery, Utilization, and Environmental Effects, vol. 45, no. 1, 2023.
  28. L. Zhang et al., “Optimization of Integrated Energy Systems Based on Two-Step Decoupling Method” Electronics, vol. 13, no.11, 2024, 2045. https://doi.org/10.3390/electronics13112045
  29. J. Zhou et al., “Aggregation Modeling for Integrated Energy Systems Based on Chance-Constrained Optimization”, Processes, vol.12, no.12 2024. P. 2672. https://doi.org/10.3390/pr12122672
  30. Y. Xue et al., “Two-layer Optimization-Based Capacity Allocation Method of Integrated Energy Systems”, Journal of Physics: Conference Series, vol.2774, no.1, 2024, 012071. https://doi.org/10.1088/1742-6596/2774/1/012071
  31. J. Hu et al., “Optimizing integrated energy systems using a hybrid approach blending grey wolf optimization with local search heuristics”, Journal of Energy Storage, vol. 87, 2024, 111384. https://doi.org/10.1016/j.est.2024.111384
  32. L. Zhang et al., “An optimization scheduling strategy for hydrogen-based integrated energy systems using multi-agent deep reinforcement learning”, Energy Conversion and Management, vol. 326 2025. P. 119483. https://doi.org/10.1016/j.enconman.2025.11 9483
  33. H. M. H. Farh etal., “Optimization and uncertainty analysis of hybrid energy systems using Monte Carlo simulation integrated with genetic algorithm”, Computers and Electrical Engineering, vol. 120, 2024. P. 109833. https://doi.org/10.1016/j.compeleceng.2024.109833
  34. G. Wu et al., “Multi-objective Optimization of Integrated Energy Systems Considering Renewable Energy Uncertainty and Electric Vehicles” IEEE Transactions on Smart Grid, 2023. P. 1. https://doi.org/10.1109/tsg.2023.3250722
  35. Z. Liu et al., “Multi-objective optimization of multi-energy complementary integrated energy systems considering load prediction and renewable energy production uncertainties”, Energy, 2022. P. 124399. https://doi.org/10.1016/j.energy.2022.124399
  36. J. Jia et al., “Multi-objective optimization study of regional integrated energy systems coupled with renewable energy, energy storage, and inter-station energy sharing”, Renewable Energy, 2024. P. 120328. https://doi.org/10.1016/j.renene.2024.120328
  37. Rizqi Z. U., Chou S.-Y., Khairunisa A. “Multiobjective simulation-optimization for integrated automated storage and retrieval systems planning considering energy consumption”, Computers & Industrial Engineering, vol. 189, 2024. P. 109979. https://doi.org/10.1016/j.cie.2024.109979
  38. Ternary Search - Algorithms for Competitive Programming. Main Page - Algorithms for Competitive Programming. https://cp-algorithms.com/num_methods/ternary_search.html
  39. Mondal A., “Ternary Search Convex Optimization.” Medium, https://mecha-mind.medium.com/ternary-search-convex-optimization-f379e60363b7
  40. Dehghanian M., Modarres Mosadegh M. S. “Ternary Weighted Function and Beurling Ternary Banach Algebral1ω(S)”, Abstract and Applied Analysis, vol. 2011, 2011. P. 1-9. https://doi.org/10.1155/2011/206165
  41. Liang D., Ma F., Li W. “New Gradient-Weighted Adaptive Gradient Methods With Dynamic Constraints”, IEEE Access, vol. 8. 2020. P. 110929-110942. https://doi.org/10.1109/access.2020.3002590
  42. B. Liu, F. Li, X. Wang, B. Zhang and J. Yan, “Ternary Weight Networks, ” ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1–5, https://doi.org/10.1109/ICASSP49357.2023.10094626
  43. Zhu, C., Han, S., Mao, H., & Dally, W.J. (2016). “Trained Ternary Quantization”, ArXiv, https://doi.org/10.48550/arXiv.1612.01064
  44. Ternary Neural Networks (TNNs). Schneppat AI. https://schneppat.com/ternary-neural-networks_tnns.html
  45. Askary H., “Intuitive Explanation of Straight-Through Estimators with PyTorch Implementation.” Medium, 2023. https://hassanaskary.medium.com/intuitive-explanation-of-straight-through-estimators-with-pytorch-implementation-71d99d25d9d0
  46. C. Yang et al., “RTGA: Robust ternary gradients aggregation for federated learning”, Information Sciences, 2022. https://doi.org/10.1016/j.ins.2022.10.113
  47. Kim J., “Quantization Robust Pruning with Knowledge Distillation”, IEEE Access, 2023, 1. https://doi.org/10.1109/access.2023.3257864
  48. Liu L., Lai H., He F., “Ternary strategy: An analogue as third component reduces the energy loss and improves the efficiency of polymer solar cells”, Journal of Energy Chemistry, vol. 70, 2022, 67–73. https://doi.org/10.1016/j.jechem.2022.02.025
  49. R.-H. Xu et al., “Operation optimization of distributed energy systems considering nonlinear characteristics of multi-energy transport and conversion processes”, Energy, vol. 283 2023. 129192. https://doi.org/10.1016/j.energy.2023.129192
  50. Ternary FinOps platform. Ternary. https://ternary.app/platform/overview/
DOI: https://doi.org/10.14313/jamris-2026-025 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 118 - 125
Submitted on: Jun 22, 2025
Accepted on: Jul 9, 2025
Published on: Jun 22, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Vitalii Babak, Mykhailo Kulyk, Artur Zaporozhets, Svitlana Kovtun, Viktor Denysov, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.