Can I study AI in Energy in Delhi without a top JEE rank?

The two honest routes

Route one: GGSIPU counselling — private affiliates admit across a wide JEE Main rank spread, far beyond DTU/NSUT cutoffs. Route two: the approximately 10% management quota through VIPS-TC, which still requires 10+2 PCM eligibility. Both lead to the same GGSIPU-recognised degree and the same coursework.

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.

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.