What if Automation in Scheduling of Power implemented in Renewables ?
Renewable portfolios (wind, hydro, solar) operate under stringent 15‑minute block forecasting and scheduling regimes— week‑ahead, day‑ahead, and intra‑day —to ensure grid stability and market discipline. Historically, this required 24×7 manual workflows across commercial and scheduling teams, exposing utilities and IPPs to human error, missed gates, and compliance risk . An Automation Process with AI/ML replatforms this end‑to‑end scheduling chain— ingest → predict → compile → validate → submit → reconcile —into a resilient, policy‑aware digital process that is on‑time, accurate, auditable, and secure , freeing scarce human capacity for value‑adding analysis and portfolio optimization. International evidence shows that grid digitalization cuts outages and integration costs; India’s CERC/SLDC procedures explicitly codify forecasting/scheduling at 15‑minute granularity and encourage improved accuracy and discipline—creating the perfect context to industrialize AI/ML scheduling automa...