Summary: Solar power generation and sensor data for two power plants.
| Parameter | Value |
|---|---|
| Name | Solar Power Generation Data |
| Labeled | Yes |
| Time Series | Yes |
| Simulation | No |
| Missing Values | No |
| Dataset Characteristics | Multivariate, Time-Series |
| Feature Type | Real |
| Associated Tasks | Regression, Forecasting |
| Number of Instances | INA |
| Number of Features | INA |
| Date Donated | INA |
| Source | Kaggle |
This data has been gathered at two solar power plants in India over a 34 day period. It has two pairs of files - each pair has one power generation dataset and one sensor readings dataset. The power generation datasets are gathered at the inverter level - each inverter has multiple lines of solar panels attached to it. The sensor data is gathered at a plant level - single array of sensors optimally placed at the plant.
There are a few areas of concern at the solar power plant:
Can we predict the power generation for the next couple of days? - this allows for better grid management. Can we identify the need for panel cleaning/maintenance? Can we identify faulty or suboptimally performing equipment?
Solar energy, Power generation data, Environmental factors, Energy forecasting, Renewable energy