Synthetic Electricity Consumption Data for 25 Years

A synthetically generated time series dataset for practicing electricity demand forecasting and analysis. It covers a simulated period of 25 years, providing a controlled environment for model development. The dataset was published on Kaggle, but specific authorship and creation details are not provided.

Use Cases

• Practice time series forecasting based on synthetic electricity demand data.
• Benchmark model performance on a controlled, synthetic energy consumption signal.
• Test anomaly detection algorithms for deviations in simulated power usage patterns.

Strengths

• Dataset covers a long simulated period of 25 years, useful for modeling long-term trends.
• Data is synthetically generated, which may reduce privacy concerns associated with real consumption records.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Synthetically generated

Time Range

Simulated 25-year period