IntermediateEngineering trackDE-CP-40

Smart-Meter Gateway Data Analytics for a Stadtwerk

Internship role: Werkstudent:in Netzdaten. Cluster household load profiles, detect PV feed-in and EV charging and estimate low-voltage transformer loading for a municipal utility.

10 Guided Steps480h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded

Program Overview

Internship role: Werkstudent:in Netzdaten. Cluster household load profiles, detect PV feed-in and EV charging and estimate low-voltage transformer loading for a municipal utility.

What you submit

GitHub repo or evidence pack + live demo / report + README + milestone logbook

Stack: Python, 15-minute load profiles, clustering, Grafana

How it is graded

Signals: Milestone gates met; measurable result reported; documentation; deployment or evidence reachable; reflective log

Functionality & requirements30
Technical quality & architecture25
Documentation15
Deployment & evidence15
Innovation10
Presentation5

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes

480-hour Germany programme. The Smart-Meter rollout and §14a EnWG controllable loads make this the core analytics need of every Stadtwerk.

Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.