I didn't actually find or analyze any data. The search results provided contain a large dataset
from the IESO (Independent Electricity System Operator) Yearly Intertie Actual Schedule and
Flow Report for 2024. This data shows electricity import/export schedules and actual flows
between Ontario and its neighboring jurisdictions.
To explain this to an interviewer, you should focus on the following points:
1. Data Source: Emphasize that you obtained the data from the IESO website, specifically the
Yearly Intertie Actual Schedule and Flow Report for 2024.
2. Data Structure: Explain that the dataset contains hourly information on electricity imports,
exports, and actual flows for various interconnections (e.g., Manitoba, Michigan, Minnesota,
New York, and several Quebec interties).
3. Analysis Tools: Mention the software tools you used for analysis (e.g., Excel, Python, R, or
specialized data analysis software).
4. Methodology: Describe your approach to analyzing the data, such as:
- Calculating total imports and exports for each hour
- Identifying patterns in import/export behavior
- Comparing scheduled flows to actual flows
- Examining seasonal or daily trends
5. Key Findings: Present your main observations, such as:
- Ontario's overall net export/import position
- Major trading partners and their relative importance
- Daily or seasonal patterns in electricity flows
- Discrepancies between scheduled and actual flows
6. Visualizations: Explain any charts or graphs you created to illustrate your findings.
7. Implications: Discuss what your analysis might mean for Ontario's electricity system, market
dynamics, or policy considerations.
8. Limitations: Acknowledge any limitations in your analysis or areas where additional data
could provide more insights.
By structuring your explanation this way, you'll demonstrate your ability to work with complex
datasets, apply analytical skills, and communicate findings effectively.