Engineers Clinic
IntermediateEngineering trackGB-CP-07

Smart Meter Energy Analytics

Analyse half-hourly smart meter data to identify consumption patterns and quantify the saving from tariff switching.

10 Guided Steps240h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded
Program Overview

Analyse half-hourly smart meter data to identify consumption patterns and quantify the saving from tariff switching.

What you submit

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

How it is graded
  • Problem & requirements15

    Loads, constraints, standards and success criteria are written down before the design starts.

  • Calculations & analysis30

    Hand calculations or simulation set out step by step with units, assumptions and a check against a second method or code limit.

  • Design output20

    Drawings, models, schematics or code that match the calculations and could be handed to the next person.

  • Validation & files15

    Test data, simulation files, calculation sheets or photos attached, with what each one shows.

  • Report & judgement20

    A clear report that states the result, its limits, cost or risk, and what you would change next.

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes
240-hour United Kingdom programme. The UK smart meter rollout has produced a large data estate needing analysts.
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.