Load Forecast Dataset
The dataset provides energy consumption readings from a specific device, identified by UUID. The data captures detailed information, including the exact timestamp of the reading, energy consumed, and voltage, among other parameters. All readings are taken at consistent five-minute intervals, offering a comprehensive view of energy trends over different dates and months.
Consistent Intervals: Readings are captured every five minutes, providing a granular view of energy consumption.
Comprehensive Timestamping: Each entry includes multiple timestamp-related fields such as 'timeSlot', 'roundedHour', and exact 'timestamp'.
Device Specificity: The dataset pertains to a single device channel, as indicated by constant 'device_uuid' and 'deviceChannelId' fields.
Variability: The 'energy' and 'voltage' fields show variations, highlighting the dynamic nature of the device's energy consumption.
The dataset in consideration provides a meticulous record of energy consumption readings from a uniquely identified device, with each entry signifying a reading from a specific timestamp. This data is rich in detail, with attributes ranging from generalized time slots, 'timeSlot', to exact moments of recording, 'timestamp'. Furthermore, the 'roundedHour' offers a rounded perspective of time, while 'month' and 'day' segregate readings by broader time frames.
The 'deviceChannelId' and 'device_uuid' confirm that these readings originate from a single channel of a particular device, ensuring the consistency and reliability of the data source. Moreover, readings, taken every five minutes, promise granularity, making the dataset a treasure trove for those aiming to discern patterns and trends in energy consumption. With fields detailing energy consumed and voltage at each interval, analysts are equipped to explore the dynamism of energy usage of the device.
Given its structure and depth, this dataset is aptly suited for time series analysis, holding potential to unlock insights that can revolutionize energy management and predictive forecasting endeavors.