Curiosity · After 12th
How to learn AI in Energy after 12th in Delhi
This is AI and IoT engineering applied to energy infrastructure. It is not an electrical or power engineering degree — VSET's electronics programme is B.Tech Electronics (VLSI Design and Technology). AI in energy covers load and generation forecasting, grid anomaly detection, asset condition monitoring and consumption optimisation. Its distinguishing feature is dense time-series telemetry from instrumented physical infrastructure. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose AI in Energy coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- AI in Energy
- VSET programme
- B.Tech Industrial Internet of Things
- Coverage at VSET
- Elective-level coverage
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
The degree route is a B.Tech with genuine AI in Energy depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means elective-level coverage inside B.Tech Industrial Internet of Things — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
How VSET teaches AI in Energy
AI in energy covers load and generation forecasting, grid anomaly detection, asset condition monitoring and consumption optimisation. Its distinguishing feature is dense time-series telemetry from instrumented physical infrastructure. At VSET this maps to elective-level coverage inside B.Tech Industrial Internet of Things.
- The sensing and telemetry layer that energy AI runs on is a full degree track at VSET: the B.Tech in Industrial Internet of Things.
- The modelling side — deep learning, time-series and anomaly-style methods — comes from the AI curriculum published at learn.engineering.vips.edu.
- Energy systems and power engineering are not taught as a domain; the application enters through project work rather than named coursework.
- IIoT is one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where AI in Energy skills lead
Graduates applying AI in Energy skills typically target roles such as IoT Engineer, Data Scientist, Machine Learning Engineer, Embedded Systems Engineer, Analytics Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Can I learn AI in Energy after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before AI in Energy-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Does VSET teach power systems?
No. VSET's electronics track is VLSI Design and Technology, and its IoT track is industrial sensing and connectivity — neither is a power-engineering degree.
What makes the IIoT programme relevant to energy AI?
Energy AI runs on telemetry from instrumented infrastructure, and the IIoT track is specifically about industrial sensing, devices and connectivity.
Where does the model training happen?
On the AICTE IDEA Lab's GPU workstations, with the Quantum Research Lab available for research-grade runs.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech Industrial Internet of Things — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31