AI for Power System Optimization Surrogate Modeling & PINNs for OPF Machine learning and physics-informed neural network surrogates for Optimal Power Flow (Sustainability, 2024). LLMs for Economic Dispatch Exploring Large Language Models for solving power system economic dispatch (IEEE ECCE, 2025). Topology Recovery of Distribution Networks DAMI Distribution Topology Recovery Topology recovery in distribution networks using Distance-Aware Mutual Information (Electric Power Systems Research, 2026). Voltage-Based Topology Recovery Efficient distribution grid topology identification from voltage measurements (NAPS, 2025). Low-Voltage Grid Topology Recovery Hierarchical clustering of smart meter data for LV distribution networks (IEEE PESGM, 2025). Phasor Estimation in Power Systems Modulation-Assisted Phasor Estimation Accurate fault current phasor estimation under decaying DC offsets (IEEE TPWRD, 2026). SymbolicPhasor Power system phasor estimation via Deep Symbolic Regression (NAPS, 2026). Sub-Cycle Neural Phasor Estimation Fast, accurate fault phasor estimation in less than one cycle using neural networks (IEEE ICCA, 2024). Transformer-Guided Phasor and Fault-Time Estimation Transformer-guided variable projection for phasor and fault-time estimation under decaying DC offset (IEEE PESGM, 2027). Energy Storage for AI Data Centers Grid Integration of AI Data Centers Hierarchical energy storage solutions for smoothing stochastic AI data center power profiles (Advances in Applied Energy, 2026). Bayesian-Optimized HESS for AI Data Centers Grid-mode-aware AI data center power smoothing via Hybrid Energy Storage Systems (IEEE TPEC, 2026). Adaptive Grid-Mode-Aware HESS Control Adaptive hybrid energy storage control for mitigating AI data center power oscillations (IEEE PESGM, 2027).
