1. A. Das and A. Sengupta, “Model predictive control for resilient frequency management in power systems”,Electr. Eng., vol. 106, pp. 6131-6157. https://doi.org/10.1007/s00202-024-02352-5
A. Das and A. Sengupta, “Power system voltage stabilization using model predictive control”, Electr. Eng., vol. 106, pp. 2765-2783 (2024). https://doi.org/10.1007/s00202-023-02099-5
A. Das and A. Sengupta, “Frequency Management in Power Systems with Uncertain Loads and Generation: A Model Predictive Control Approach,” 2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T), Raipur, India, 2024, pp. 721-726.
https://doi.org/10.1109/ICPC2T60072.2024.10474819.
A. Das and A. Sengupta, ”Modeling of Frequency Dependency in Steady-State and Dynamic Analysis of Multi-Area Power System,” 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE), Rourkela, India, 2024, pp. 1-6, https://doi.org/ICSPCRE62303.2024.10674749.
Anurag Das and L. Srivastava, ”Optimal placement and sizing of distributed generation units for power loss reduction using Moth-Flame optimization algorithm,” ICICICT,Kerala, 2017.
3. Hemlata Gangwar, Anu Singha, and Anurag Das, ”Machine learning based consumer behavior detection device,” Feb 2025, Indian Patent Design no- 447438-001.
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