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Hanif Livani

Professor, Electrical and Biomedical Engineering

Open to new collaborations

Research interests

Machine learning and data analytics Cyber-physical energy systems Power system state estimation Fault location in transmission & distribution networks Reliable integration of renewable energy systems and distribution generations to smart grid Smart grid applications in power system monitoring and automation Electric energy market Application of signal processing to power system

Recent publications

The ten most recent from their Google Scholar profile, newest first.

  1. Price-based centralized coordination of grid-edge resources for residential community energy flexibility assessment

    J Olowolaju, Y Du, J Mohammadi, H Livani. Electric Power Systems Research 265, 114023 , 2027. 2027

  2. Resource Adequacy in United States Power Markets During the Digital Era: A Comparative Review of Principles and Current Practices

    EK Ahorsu, M Mehrtash, MR Hammad, D Seward, AD Bebars, P Fajri, .... 2026 IEEE Texas Power and Energy Conference (TPEC), 1-6 , 2026. 2026

  3. Adaptive Volt-VAR droop control of inverters in active distribution networks: Offline extremum seeking-based calibration and online execution

    S Najafi, H Livani. Renewable Energy Focus, 100895 , 2026. 2026

  4. An Effective Rotor Current-Based Method for Automatic Stator Turn-to-Turn Fault Detection and Fault Severity Classification in DFIGs

    AD Bebars, EK Ahorsu, M Mehrtash, H Livani. IEEE Transactions on Industry Applications , 2026. 2026

  5. Microgrid Real-Time Control for Accurate Power Sharing Under EV and PV Uncertainties

    AM Abouassy, M Mehrtash, P Fajri, H Livani. 2026 IEEE Texas Power and Energy Conference (TPEC), 1-6 , 2026. 2026

  6. Secondary-Level State-of-Charge Balancing Control for Accurate Power Sharing Among Battery Energy Storage Systems in Microgrids

    AM Abouassy, M Mehrtash, H Livani. 2026 IEEE Texas Power and Energy Conference (TPEC), 1-6 , 2026. 2026

  7. Assessing Impact of PV Forecasting Accuracy and Data Redundancy on Kalman Filter-Enhanced Economic Dispatch: A Comparative Study

    AM Abouassy, M Mehrtash, S Fadali, H Livani. 2026 IEEE Texas Power and Energy Conference (TPEC), 1-6 , 2026. 2026

  8. Topology-aware reinforcement learning for voltage control: Centralized and decentralized strategies

    R Hossain, M Gautam, M MansourLakouraj, H Livani, M Benidris. IEEE Transactions on Industry Applications 61 (4), 5394-5405 , 2025. 2025

    18 citations

  9. Chance-constrained co-optimization of demand response and Volt/Var under Gaussian mixture model uncertainty

    S Najafi, H Livani. Renewable Energy Focus 53, 100674 , 2025. 2025

    15 citations

  10. Robust day-ahead voltage support and building demand response scheduling under Gaussian mixture model uncertainty

    S Najafi, H Livani. IEEE Transactions on Industry Applications , 2025. 2025

    6 citations

All publications on Google Scholar