Power BI Dashboard Creation
Budget: $30 – $250 USD
Hello,
I need a Power BI dashboard built for analyzing energy consumption across different university buildings. I have five datasets:
Building_A.csv & Building_B.csv → Hourly electricity produced and consumed (kWh).
Main supply line WZR.csv → Total energy supplied and consumed at faculty level (kWh).
Peak_power.csv → 15-minute resolution peak power demand (kW).
Indoor_temperature.csv → Temperature data from sensors (°C).
The dashboard should:
Show comparisons of Building A, Building B, and the faculty’s main supply line (production vs consumption).
Track peak demand and load patterns.
Display indoor temperature vs energy consumption for correlation analysis.
Include time-series visuals (daily, weekly, monthly trends).
Provide KPIs such as total consumption, total production, net energy balance, and peak demand values.
I’d also like to give you freedom to add useful features or visualizations that make the dashboard more insightful (e.g., cost estimation if we set energy prices, anomaly detection, forecasting trends, or advanced visuals). The goal is a professional, practical tool for energy managers that supports decision-making.
Thank you!
I need a Power BI dashboard built for analyzing energy consumption across different university buildings. I have five datasets:
Building_A.csv & Building_B.csv → Hourly electricity produced and consumed (kWh).
Main supply line WZR.csv → Total energy supplied and consumed at faculty level (kWh).
Peak_power.csv → 15-minute resolution peak power demand (kW).
Indoor_temperature.csv → Temperature data from sensors (°C).
The dashboard should:
Show comparisons of Building A, Building B, and the faculty’s main supply line (production vs consumption).
Track peak demand and load patterns.
Display indoor temperature vs energy consumption for correlation analysis.
Include time-series visuals (daily, weekly, monthly trends).
Provide KPIs such as total consumption, total production, net energy balance, and peak demand values.
I’d also like to give you freedom to add useful features or visualizations that make the dashboard more insightful (e.g., cost estimation if we set energy prices, anomaly detection, forecasting trends, or advanced visuals). The goal is a professional, practical tool for energy managers that supports decision-making.
Thank you!