Hourly net energy flows across the **Nova Scotia–New Brunswick electrical interconnection**, in megawatts (MW). Positive and negative values indicate the direction and magnitude of power exchange between the two provincial grids at the tie line. This dataset is essential for understanding how Nova Scotia imports or exports electricity relative to neighbouring New Brunswick, including during peak demand, renewable surplus, and emergency conditions.
Published by Nova Scotia Power under OASIS monthly reports for the NS–NB interconnection. Fifteen yearly source files (2012–2026) are combined into one file. Each row is one hour ending with the net MW flow on the intertie.
**Time coverage:** 2012–2026 (hourly).
**Note:** The 2026 file is partial (year-to-date). Some series may have reduced availability following NS Power's April 2025 cyber incident.
**Key columns:**
- `Hour Ending` — timestamp (hour ending)
- `MW` — net energy flow on the NS–NB intertie (positive = one direction, negative = the other)
- `_source_year` — calendar year of the source file
**Rows:** ~115,367 hourly records.
This dataset appears to contain hourly energy production or consumption data for a specific year, with values represented by a string (MW) and timestamps in a 24-hour format.
The overall quality score of the dataset is good, with high completeness, uniqueness, and consistency scores. However, the validity score indicates some potential inaccuracies or missing data points. The completion score suggests that all data points are present, but further validation is necessary to confirm this.
1. Analyzing historical energy consumption patterns
2. Identifying trends in renewable energy production
3. Comparing energy production across different time periods
1. The dataset may not account for seasonal variations or weather-related factors that can impact energy production
2. The string values represent the actual energy produced (e.g., 13 MW) rather than a normalized value, which could affect analysis and modeling
energy-production, consumption-data, time-series-analysis
Visualize dataset coverage on a map. Geospatial columns (latitude/longitude, lat/lon, x/y) are detected automatically.
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