Summary: This dataset involves energy consumption data from a high storage system, aiming at optimizing energy use through detailed monitoring and predictive analytics.
| Parameter | Value |
|---|---|
| Name | High Storage System Data for Energy Optimization |
| Labeled | Yes |
| Time Series | Yes |
| Simulation | INA |
| Missing Values | Yes |
| Dataset Characteristics | Multivariate, Time-Series |
| Feature Type | Real, Integer |
| Associated Tasks | Regression, Clustering |
| Number of Instances | INA |
| Number of Features | INA |
| Date Donated | INA |
| Source | Kaggle |
The dataset includes detailed measurements from a high storage system aimed at energy optimization. It contains multiple sensor readings and operational parameters that are crucial for developing energy-efficient strategies.
The data is particularly useful for tasks aimed at reducing energy consumption and enhancing system efficiency. The focus is on applying machine learning techniques to predict and optimize energy usage patterns within industrial settings.
Energy optimization, High storage systems, Predictive analytics, Sensor data, Industrial energy efficiency