2026-10-11T05:04:00Z https://data.mendeley.com/oai

oai:data.mendeley.com/ntxzd8krv4.1 2025-08-06T15:24:59Z

Kabeer, Muhammad Synthetic Time-Series Dataset for Machine Learning-Based Early Detection of Grid Collapse Mendeley Data This dataset is a synthetic time-series dataset designed to simulate power grid operations with the goal of training machine learning models for early detection of grid collapses. It captures multi-dimensional features that influence grid stability over time. Key Characteristics: Size: 527,040 records (likely representing 1-minute intervals over a full year) Type: Synthetic data mimicking real-world grid behavior patterns Purpose: Train ML models to predict grid collapse events Features: Temporal Marker: timestamp: Date and time (minute-level precision) Grid Operational Metrics: frequency_hz: Grid frequency (nominally 50Hz) load_MW: Total power demand (in Megawatts) gen_gas_MW: Gas-powered generation output gen_hydro_MW: Hydroelectric generation output voltage_pu: Voltage in per-unit values (1.0 = nominal) Environmental Factor: weather_index: Numeric indicator of weather conditions (negative values suggest severe weather) Event Flags (Binary): line_trip: Transmission line failure (0/1) gen_outage_collapse: Generator outage leading to collapse (target variable) Observed Patterns: Shows gradual load fluctuations with corresponding generation adjustments Frequency deviations from 50Hz suggest grid stress Voltage variations (0.94-1.06 pu range visible) may indicate instability Weather index correlates with some operational changes Machine Learning Relevance: Enables supervised learning for binary classification (collapse prediction) and regression prediction. Time-series nature allows for sequence modeling (RNNs, Transformers) Feature correlations can reveal precursor patterns to collapse Synthetic nature ensures availability of rare event data (collapses) Computer Science Electrical Engineering Machine Learning Ali Laghari, Waheed Haque, Md Sanaul Dataset doi:10.17632/ntxzd8krv4.1 oai:data.mendeley.com/ntxzd8krv4.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/ntxzd8krv4 2025-08-06T15:24:59Z