What is this?

Code in this repository analyzes the VEA Industrial Load Profiles dataset regarding peak-shaving utilizing the PeakShavingAnalyzer.

It queries the necessary data from OpenEnergyDataServer and analyzes it regarding system sizes, investments and savings. Furthermore, a basic correlation analysis has been carried out.

In the directory optimization, the load profiles are optimized. Each scenario (baseline, storage, storage + PV) has it's own optimization file.

In the directory analysis, the scenarios storage and storage_pv are compared to the scenario baseline.

How to analyse yourself

1. Create a .env file stating the DB_URI for your OEDS.
2. Create the metadata needed by running analysis/create_master_features.py
3. Optimize the profiles using the files in /optimizations
4. Analyse the profiles using the files in /analysis