1. Lovro, L., A. Tomislav, and C. Tomislav, Changing the paradigm of distribution networks planning and operation: A systematic review of the distributed energy resources impact. Sustainable Energy, Grids and Networks, 2026. 45: p. 102070.
2. Keyu, Z., et al., Cooperative optimal operation of multi-microgrids and shared energy storage for voltage regulation of distribution networks based on improved Nash bargaining. International Journal of Electrical Power & Energy Systems, 2025. 166: p. 110532.
3. Fuchuan, D., et al., Voltage-variation-based adaptive virtual inertia control for dynamic power distribution in distributed energy storage battery system. Journal of Energy Storage, 2025. 132: p. 117778.
4. Subhadarshini, P. and G. Sanjib, Multi-objective smart charging scheduling scheme for EV integration and energy loss minimization in active distribution networks using mixed integer programming. Sustainable Energy, Grids and Networks, 2025. 43: p. 101743.
5. Kamran, T.-T., et al., Operation of smart distribution networks by considering the spatial–temporal flexibility of data centers and battery energy storage systems. Sustainable Cities and Society, 2024. 114: p. 105746.
6. Mehdi, V., Economic sizing and placement of hydrogen fueling and electric vehicles charging stations powered by renewable and battery systems in smart distribution network. Results in Engineering, 2025. 27: p. 106657.
7. Kamran, T.-T., et al., Multi-dimensional management of smart distribution networks: Comparative analysis of box and polyhedral methods for modeling uncertainties. Sustainable Cities and Society, 2024. 108: p. 105488.
8. Masoudi, M.R., M. Haghighi, and M. Rahimipour Behbahani, Optimal operation of solar energy system integrated with energy storage systems. Power, Control, and Data Processing Systems, 2024. 1(1).
9. Dar Mudaser, R. and G. Sanjib, Voltage regulation and energy loss minimization for distribution networks with high photovoltaic penetration and EV charging stations using dual-stage model predictive control. Sustainable Energy, Grids and Networks, 2024. 40: p. 101529.
10. Noorfatima, N., J. Kong, and J. Jung, Addressing challenges induced by transactive energy: Implications for network cost allocation policy in distribution systems. Renewable and Sustainable Energy Reviews, 2026. 230: p. 116686.
11. Abbas, et al., Application of robust optimized spatiotemporal load management of data centers for renewable curtailment mitigation. Renewable and Sustainable Energy Reviews, 2024. 204: p. 114793.
12. Hassan, N., T.-T. Kamran, and H. Mehrdad Tarafdar, Risk-constrained optimization of joint spatio-temporal flexibility of mobile energy storage and data centers under uncertainties in distribution systems. Energy Reports, 2025. 14: p. 5072-5094.
13. Ehsan, A., et al., Potential of environmentally friendly energy hubs with hydrogen and thermal storage devices on the voltage and temperature regulation in energy networks. Energy Conversion and Management: X, 2025. 28: p. 101401.
14. Mohammadali, N., et al., Flexibility pricing of integrated unit of electric spring and EVs parking in microgrids. Energy, 2022. 239: p. 122080.
15. Haojing, T., et al., DERs participation in TSO-DSO coordinated operation considering dynamic reconfiguration of distribution networks. International Journal of Electrical Power & Energy Systems, 2025. 173: p. 111407.
16. Brandon, C.-C., et al., A cost-effective integration and operation methodology for battery energy storage systems in active distribution networks via a master–slave optimization strategy. Journal of Energy Storage, 2025. 123: p. 116639.
17. Chaofan, H., et al., Renewable energy based low-voltage distribution network for dynamic voltage regulation. Results in Engineering, 2024. 21: p. 101701.
18. Shunxiang, Y., et al., Distributionally robust optimal scheduling of flexible distribution networks considering dynamic spatio-temporal correlation of renewable energy. International Journal of Electrical Power & Energy Systems, 2025. 169: p. 110770.
19. Ahhmadi, S. and M. Setayesh Nazar, Economic operation of multi-carrier microgrids considering energy markets and renewable electricity production. Power, Control, and Data Processing Systems, 2025. 2(2): p. 53-60.
20. Mohammad, S.-J., et al., Simultaneous planning of distribution automation and battery energy storage systems for improving resilience of distribution network. Sustainable Energy, Grids and Networks, 2025. 42: p. 101709.
21. Ping, D., et al., Research on multi-time-scale flexible operation method of distribution network considering deep reinforcement learning. International Journal of Electrical Power & Energy Systems, 2025. 172: p. 111209.
22. Haghighi, M., M.R. Masoudi, and M. Rahimipour Behbahani, Smart homes energy management system integrated with renewable energy sources and demand response programs. Power, Control, and Data Processing Systems, 2025. 2(1): p. e719228.
23. Nojavan, S., et al., Optimal demand response aggregation in wholesale electricity markets: Comparative analysis of polyhedral; ellipsoidal and box methods for modeling uncertainties. Heliyon, 2024. 10(10).
24. Md Masud, R., et al., Optimal sizing of battery storage for cost-effective peak shaving in regional distribution networks. Journal of Energy Storage, 2026. 141: p. 119502.
25. Bhattacharya, S., et al., Optimising the placement and sizing of a predefined number of battery energy storage systems on Distribution Networks. IFAC-PapersOnLine, 2024. 58(13): p. 38-43.
26. Wisam Najm Al-Din, A., Solving probabilistic optimal power flow with renewable energy sources in distribution networks using fire hawk optimizer. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 2023. 6: p. 100370.
27. Ashraf Mohamed, H., et al., Impact of loading capability on optimal location of renewable energy systems distribution networks. Ain Shams Engineering Journal, 2024. 15(1): p. 102340.