Article

Neuro-Symbolic AI for Explainable Decision-Making in Autonomous Grid Operations

2025-08-13

Abstract excerpt

As power grids evolve toward higher autonomy and complexity, the need for intelligent control systems that are both high-performing and explainable becomes increasingly urgent. Traditional rule-based controllers offer safety and transparency but lack adaptability, while modern deep learning approaches provide high flexibility at the cost of interpretability, a critical drawback in regulated and safety critical ene...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5ddeef4c-83b6-5ec3-a165-d600d5aecf79
DOI: 10.20944/preprints202508.0747.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Neuro-Symbolic AI for Explainable Decision-Making in Autonomous Grid OperationsDOI 10.20944/preprints202508.0747.v1Read

Artificial Intelligence Applications in Modern Power Systems: Load Forecasting, Fault Detection, Predictive Maintenance, Grid Optimization, Renewable Integration, and Stability AssessmentSemantic proximity Read

Redefining Adversarial Dynamics: Co-Evolution of Attack and Defense Strategies in AI-Enabled Power Cyber-Physical SystemsSemantic proximity Read

Constrained Large Language Model Defense Agents for Secure Smart Grid OperationSemantic proximity Read

Neuro-Symbolic AI with Edge Computing and Reinforcement Learning Optimizing Autonomous Engineering Design WorkflowsSemantic proximity Read

Federated Learning for Power Cyber-Physical Systems: Toward Secure, Resilient, and Explainable IntelligenceSemantic proximity Read

A Zero-Trust Agentic AI Methodology for Cyber-Resilient Energy Market Clearing under Residual Cyber Contamination and Dynamic UncertaintySemantic proximity Read

EXPLAINABLE REINFORCEMENT LEARNING FOR TRANSPARENT AUTONOMOUS DECISION SYSTEMSSemantic proximity Read

Machine Learning for Lithium-Ion Battery Voltage Modeling: Insights from NARX-RNN, Deep Koopman, and LSTM-NARXSemantic proximity Read

Physics-Informed Predictive Diagnostics for Industrial Steam Turbine Generators Start-Ups: Connecting Rotor Kinematics and Energy Market EconomicsSemantic proximity Read

CAUSAL EXPLAINABLE REINFORCEMENT LEARNING FOR RELIABLE AUTONOMOUS DECISION-MAKING IN DYNAMIC ENVIRONMENTSSemantic proximity Read

Legal Reasoning and EU AI Act Compliance in LIMEN-AI: Auditability through Interpretable Fuzzy Inference TracesSemantic proximity Read

A Comprehensive Review of Artificial Intelligence-Driven Health Management of Electrical MachinesSemantic proximity Read