Dataset descripton

A detailed description is given on data level in a from of README files!

Description for "Filter_Difference_Calculation.csv":

This file contains the raw and processed power data for the aggregated profile and individual devices. The columns include time in Python datetime format, Raw_Power representing the unprocessed aggregated power data, Filtered_Power which is the median-filtered signal (window size 3) to reduce spikes while preserving sharp edges, and First_Order_Difference which is the first-order difference of the filtered signal to extract step sizes. Additionally, it contains the filtered measurements for individual devices Measured_Device_Power, and ToI is a boolean mask marking Timestamps of Interest (ToIs) that were detected.

Description for "Event_Detection_Matching_Thresholds.csv":

This file captures the generated event maps based on different matching score thresholds. The columns include time in Python datetime format, High_Threshold , Optimal_Threshold, and Low_Threshold, representing the event maps generated at corresponding confidence levels, and ToI, a boolean mask indicating Timestamps of Interest (ToIs) detected in the event maps.

Description for "Reconstructed_Detected_Grid_Power.csv":

This file provides reconstructed and filtered measurements for both aggregated and individual devices. The columns include time in Python datetime format, Filtered_Aggregated_Power representing the filtered aggregated measurements, Reconstructed_Power which is the reconstructed power profile of detected devices, Measured_Power for the filtered measurements of individual devices, Remaining_Unlabeled_Power indicating remaining unlabeled power, and ToI, a boolean mask marking Timestamps of Interest (ToIs) that were detected.