Open Access
| Issue |
RAIRO-Oper. Res.
Volume 60, Number 1, January-February 2026
|
|
|---|---|---|
| Page(s) | 157 - 172 | |
| DOI | https://doi.org/10.1051/ro/2025134 | |
| Published online | 23 February 2026 | |
- M.Z. Khan, E.M. Ahmed, S. Habib and Z.M. Ali, Multi-objective optimization technique for droop controlled distributed generators in AC islanded microgrid. Electr. Power Syst. Res. 213 (2022) 1–20. [Google Scholar]
- S.K. Prasad and B.K. Mangaraj, A multi-objective competitive-design framework for fuel procurement planning in coal-fired power plants for sustainable operations. Energy Econ. 108 (2022) 105914.1–105914.15. [Google Scholar]
- Z. Muhammad, L. Hakeem, M.A. Khan, R. Muhammad and A. Elkamel, A multi-period optimization model for power sector with CO2 emission considerations. Int. J. Energy Res. 46 (2022) 2655–2673. [Google Scholar]
- A. Maheshwari and Y.R. Sood, Solution approach for optimal power flow considering wind turbine and environmental emissions. Wind Eng. 46 (2022) 480–502. [Google Scholar]
- W. Yang, C. Zhou, J. Song, D. Xuan, Q. Yuan, G. Zhu and P. Zhang, Data-driven smart grid carbon emission control methods using graph-based power flow computing. J. Comput. Methods Sci. Eng. 24 (2024) 3245–3259. [Google Scholar]
- A. Wyrwa, W. Suwala, M. Pluta, M. Raczyński, J. Zyk and S. Tokarski, A new approach for coupling the short- and long-term planning models to design a pathway to carbon neutrality in a coal-based power system. Energy 239 (2022) 122438.1–122438.14. [Google Scholar]
- S. Lee, P. Prabawa and D.H. Choi, Joint peak power and carbon emission shaving in active distribution systems using carbon emission flow-based deep reinforcement learning. Appl. Energy 379 (2025) 1.1–1.13. [Google Scholar]
- R.W. Yuan, J.Q. Lin, P. Li, G.Y. Wu and Y. Kuang, Bi-level optimization strategy for active distribution networks considering carbon emission factors and dynamic reconfiguration. J. Shandong Univ. (Eng. Sci.) 55 (2025) 16–27. [Google Scholar]
- B.D. Biswas, M.S. Hasan and S. Kamalasadan, Decentralized distributed convex optimal power flow model for power distribution system based on alternating direction method of multipliers. IEEE Trans. Ind. App. 59 (2023) 627–640. [Google Scholar]
- M.M. Mohsenzadeh, S. Hasanzadeh, H.R. Sezavar and M.H. Samimi, Flashover voltage and time prediction of polluted silicone rubber insulator based on artificial neural networks. Electr. Power Syst. Res. 221 (2023) 1.1–1.10. [Google Scholar]
- J.C. Olives-Camps, Á.R. del Nozal, J.M. Mauricio and J.M. Maza-Ortega, A holistic model-less approach for the optimal real-time control of power electronics-dominated AC microgrids. Appl. Energy 335 (2023) 120761.1–120761.11. [Google Scholar]
- K. Utkarsh, F. Ding, X. Jin, M. Blonsky, H.V. Padullaparti and S. Balamurugan, A network-aware distributed energy resource aggregation framework for flexible, cost-optimal, and resilient operation. IEEE Trans. Smart Grid 13 (2022) 1213–1224. [Google Scholar]
- S.H. Roodkoly, Z.Q. Fard and M.T.Z. Karami, Development of a simulation-based ANN framework for predicting energy consumption metrics: a case study of an office building. Energy Effic. 17 (2024) 5.1–5.24. [Google Scholar]
- R. Roy and A.K. Gupta, Data-driven prediction of flame temperature and pollutant emission in distributed combustion. Appl. Energy 310 (2022) 118502.1–118502.13. [Google Scholar]
- M.H. Hassan, S.K. Elsayed, S. Kamel, C. Rahmann and I.B.M. Taha, Developing chaotic Bonobo optimizer for optimal power flow analysis considering stochastic renewable energy resources. Int. J. Energy Res. 46 (2022) 11291–11325. [Google Scholar]
- R.K. Avvari and V.K. DM, A new hybrid evolutionary algorithm for multi-objective optimal power flow in an integrated WE, PV, and PEV power system. Electr. Power Syst. Res. 214 (2023) 1–12. [Google Scholar]
- V. Singh, T. Moger and D. Jena, Probabilistic load flow for wind integrated power system considering node power uncertainties and random branch outages. IEEE Trans. Sustain. Energy 14 (2023) 482–489. [Google Scholar]
- A. Lima-Silva and F.D. Freitas, Exploring a dynamic homotopy technique to enhance the convergence of classical power flow iterative solvers in Ill-conditioned power system models. Energies 17 (2024). DOI: 10.3390/en17184642. [Google Scholar]
- S. Ramesh, E. Verdú, K. Karunanithi and S.P. Raja, An optimal power flow solution to deregulated electricity power market using meta-heuristic algorithms considering load congestion environment. Electr. Power Syst. Res. 214 (2023) 1–14. [Google Scholar]
- Y. Bansal, R. Sodhi, S. Chakrabarti and A. Sharma, A Novel two-stage partitioning based reconfiguration method for active distribution networks. IEEE Trans. Power Delivery 38 (2023) 4004–4016. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
