LG&E in Louisville provides 15-minute interval data but it's a massive CSV file. 35,000 rows for one year. Anyone have tools for analyzing load patterns and finding anomalies?
Interval data analysis tools
Excel can handle it if you use pivot tables and charts effectively. I create load profiles by month, day of week, time of day. Helps spot unusual usage patterns.
Power BI works great for this. Import the CSV and create interactive dashboards. Can quickly identify peak demand events and energy waste. Used it on Xcel Energy accounts in Texas.
Python pandas library is powerful for large datasets if you're comfortable with coding. Can automate the analysis and generate reports. Free but has a learning curve.
Whatever tool you use, look for patterns first. Consistent high usage outside business hours usually means something's wrong. Found a stuck heating unit that way on an MLGW account.