M. Rizwan

According to our database, M. Rizwan authored at least 6 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Unified Prediction-Dispatch Framework for PV Power Scheduling Using Reinforcement Learning.

Apoorva Choumal, M. Rizwan, Shatakshi Jha

IEEE Trans. Consumer Electron., November, 2025

Artificial Intelligence Approaches for SOH Estimation in Lithium-Ion Batteries: A Comprehensive Review of Progress, Critical Evaluations, Challenges, and Toward Future Outlooks.

Deepak Kumar, Rashid Nasimov, Akshat Singh, Amritanshu Jha, Anand Jha, M. Rizwan

Appl. Comput. Intell. Soft Comput., 2025

Robust State of Charge Estimation of Lithium-Ion Batteries Based on Hybrid Deep Learning Approach.

Deepak Kumar, Himanshu Raj, Astitva Kumar, Ashutosh Kumar Ranjan, M. Rizwan, Amrish K. Panwar

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2025

2023

Analysis of wind turbine dataset and machine learning based forecasting in SCADA-system.

Upma Singh, M. Rizwan

J. Ambient Intell. Humaniz. Comput., 2023

2021

QNBP NN-based I cos ϕ algorithm for PV systems integrated with LV/MV grid.

Priyanka Chaudhary, M. Rizwan

Soft Comput., 2021

2014

Generalized neural network and wavelet transform based approach for fault location estimation of a transmission line.

Majid Jamil, Abul Kalam, Abdul Quaiyum Ansari, M. Rizwan

Appl. Soft Comput., 2014