01 — Data Acquisition & Exploratory Analysis
Fetches 15 years of IESO hourly demand data and Open-Meteo weather for Toronto, merges datasets, and performs comprehensive EDA on peak demand patterns.
ieso demand-data weather-api exploratory-analysis
Pythonpandasmatplotlibseabornrequestsopenpyxl
Key Findings
- ● 15 base periods of hourly Ontario demand (2010–2025) combined from local ICI files and IESO public CSVs
- ● ~90% of top-5 peaks occur June–August, on weekdays, between 3–7 PM EST
- ● Strong nonlinear relationship between daily max temperature and daily max demand above ~22°C