Short description: The ¼ hour data (load profile) of electricity customers should be checked for plausibility. Errors or gaps should be recognised and smoothed automatically, peaks should be checked for regularity or logical repetition. A complete csv-file should be output as the result.
Market potential: Since many households already have smart meters, a better usability of their data is very useful, e.g. for efficiency measures, peak shaving or the preparation of renewable energy communities (REC).
Timing: Due to the need of energy transition on household, business and municipal level and the new renewable energy communities – the sooner the better!
Desired result: The software should point out peaks in the ¼ data that need to be analysed more closely.
If no ¼ hour data is available, it would be very helpful if this data could be created automatically from existing daily, weekly or monthly data using standardised load profiles.
Challenge owner information: Regional Energy Agency.
Keywords: Smart meter; Load profile analysis; Electricity consumption analysis; Electricity data preparation for Renewable Energy Communities (REC); Electricity consumption analysis
